From cfe680bc27461982f0169c4042bc570556eff74b Mon Sep 17 00:00:00 2001 From: Jordi Inglada <jordi.inglada@orfeo-toolbox.org> Date: Thu, 29 Jun 2006 13:42:45 +0000 Subject: [PATCH] Mise a jour exemples pour doc --- Latex/Insight.bib | 5273 ++++++++++++++++++++++++- SoftwareGuide/Latex/Introduction.tex | 24 +- SoftwareGuide/Latex/SoftwareGuide.tex | 4 +- 3 files changed, 5270 insertions(+), 31 deletions(-) diff --git a/Latex/Insight.bib b/Latex/Insight.bib index 7d94b9f2f3..f904d83ba6 100644 --- a/Latex/Insight.bib +++ b/Latex/Insight.bib @@ -24,6 +24,107 @@ @String{ vr = "Vision Research"} @String{ ph = "Prentice Hall"} @String{ cgip = "Computer Graphics and Image Processing"} +@STRING{ aa = "Astronomy and Astrophysics" } +@STRING{ acivs = "Proc. Advanced Concepts for Intelligent Vision Systems" } +@STRING{ acm = "Communications of the ACM" } +@STRING{ adass = "Proc. Astronomical Data Analysis Software and Systems" } +@STRING{ ajm = "American Journal of Mathematics" } +@STRING{ as = "Annals of Statistics" } +@STRING{ bmvc = "Proc. British Machine Vision Conference (BMVC)" } +@STRING{ cgip = "Computer Graphics and Image Processing" } +@STRING{ cpc = "Computer Physics Communications" } +@STRING{ cssp = "Circuits, Systems, and Signal Processing" } +@STRING{ cvgip = "CVGIP: Image Understanding" } +@STRING{ cvpr = "Proc. IEEE Computer Vision and Pattern Recognition (CVPR)" } +@STRING{ eccv = "Proc. European Conference on Computer Vision (ECCV)" } +@STRING{ emmcvpr = "Proc. Energy Minimization Methods in Computer Vision and Pattern + Recognition (EMMCVPR)" } +@STRING{ eusar = "Proc. European Conference on Synthetic Aperture Radar" } +@STRING{ eusipco = "Proc. European Signal Processing Conference (EUSIPCO)" } +@STRING{ fspipa = "Proc. Fundamental Structural Properties in Image and Pattern + Analysis" } +@STRING{ gmip = "Graphical Models and Image Processing" } +@STRING{ gretsi = "Proc. GRETSI Symposium on Signal and Image Processing" } +@STRING{ icassp = "Proc. IEEE International Conference on Acoustics, Speech and Signal + Processing (ICASSP)" } +@STRING{ iccv = "Proc. IEEE International Conference on Computer Vision (ICCV)" } +@STRING{ icip = "Proc. IEEE International Conference on Image Processing (ICIP)" } +@STRING{ icpr = "Proc. International Conference on Pattern Recognition (ICPR)" } +@STRING{ igarss = "Proc. IEEE International Geoscience and Remote Sensing Symposium + (IGARSS)" } +@STRING{ ijcv = "International Journal of Computer Vision" } +@STRING{ ijrs = "International Journal of Remote Sensing" } +@STRING{ imdsp = "IEEE Image and MultiDimensional Signal Processing" } +@STRING{ isbi = "Proc. IEEE International Symposium on Biomedical Imaging (ISBI)" } +@STRING{ isosei = "Proc. International Symposium on Optical Science, Engineering and + Instrumentation" } +@STRING{ ispa = "Proc. International Symposium on Image and Signal Processing and + Analysis (ISISPA)" } +@STRING{ isprs = "Proc. International Society for Photogrammetry and Remote Sensing + (ISPRS)" } +@STRING{ isspa = "Proc. International Symposium on Signal Processing and its + Applications (ISSPA)" } +@STRING{ iwnnsp = "Proc. IEEE International Workshop on Neural Networks for Signal + Processing (NNSP)" } +@STRING{ jcp = "Journal of Computational Physics" } +@STRING{ jsp = "Journal of Statistical Physics" } +@STRING{ lncs = "Lecture Notes in Computer Science" } +@STRING{ maxent = "Bayesian Inference and Maximum Entropy Methods in Science and + Engineering" } +@STRING{ mcma = "Monte Carlo Methods and Applications" } +@STRING{ mcmcqmc = "Monte Carlo Methods and Quasi-Monte Carlo Methods" } +@STRING{ mva = "Machine Vision and Applications" } +@STRING{ nas = "Proceedings of the National Academy of Science" } +@STRING{ ni = "NeuroImage" } +@STRING{ nips = "Advances in Neural Information Processing Systems" } +@STRING{ nummath = "Numerische Mathematik" } +@STRING{ orasis = "Proc. Journ{\'e}es des jeunes chercheurs en vision par ordinateur" } +@STRING{ pcs = "Proc. Picture Coding Symposium" } +@STRING{ photog = "International Archives of Photogrammetry and Remote Sensing" } +@STRING{ pit = "Problems of Information Transmission" } +@STRING{ pmb = "Physics in Medicine and Biology" } +@STRING{ ppr = "Proc. Patt. Rec." } +@STRING{ pr = "Pattern Recognition" } +@STRING{ pra = "Physical Review A" } +@STRING{ pre = "Physical Review E" } +@STRING{ prl = "Pattern Recognition Letters" } +@STRING{ psip = "Physics in Signal and Image Processing" } +@STRING{ rfia = "Proc. Reconnaissance des formes et Intelligence Artificielle" } +@STRING{ rti = "Real Time Imaging" } +@STRING{ scalespace = "Proc. Scale-Space" } +@STRING{ sfpt = "Bulletin de la Soci{\'e}t{\'e} Fran\c caise de Photogramm{\'e}trie + et de T{\'e}l{\'e}d{\'e}tection" } +@STRING{ smmsp = "Proc. International Workshop on Spectral Methods and Multirate + Signal Processing (SMMSP)" } +@STRING{ spiewav = "Proc. SPIE Conference on Wavelets" } +@STRING{ sppa = "International Conference on Spatial Point Process Modelling and its + Application (SPPA)" } +@STRING{ ssiab = "Proc. French-Danish Workshop on Spatial Statistics and Image + Analysis in Biology (SSIAB)" } +@STRING{ ssp = "IEEE Workshop on Statistical Signal Processing" } +@STRING{ taima = "Proc. Traitement et Analyse de l'Information - M{\'e}thodes et + Applications (TAIMA)" } +@STRING{ tcs = "IEEE Trans. on Circuits And Systems II" } +@STRING{ tds = "Traitement du Signal" } +@STRING{ tgrs = "IEEE Trans. Geoscience and Remote Sensing" } +@STRING{ tip = "IEEE Trans. Image Processing" } +@STRING{ tit = "IEEE Trans. Information Theory" } +@STRING{ tmi = "IEEE Trans. Medical Imaging" } +@STRING{ tpami = "IEEE Trans. Pattern Analysis and Machine Intelligence" } +@STRING{ tsp = "IEEE Trans. Signal Processing" } +@STRING{ vcip = "Proc. SPIE Conference on Visual Communications and Image Processing" } +@STRING{ vcir = "Journal of Visual Communication and Image Representation" } +@STRING{ vlsm = "Proc. IEEE Workshop Variational, Geometric and Level Set Methods in + Computer Vision" } +@STRING{ wbia = "Proc. IEEE Workshop on Biomedical Image Analysis" } +@string{ijrs ="Int. J. of Remote Sensing"}% +@string{cjrs ="Can. J. of Remote Sensing"}% +@string{ts ="Trait. Signal"} +@string{j_cviu ="Comp. Vis. and Im. Under."} + +@string{ieee_c_grs ="IEEE Int. Conf. Geosci. Remote Sensing"}% +@string{ieee_c_ip ="IEEE Int. Conf. Image Processing"}% +@string{ieee_c_assp ="IEEE Int. Conf. Acoust., Speech, Signal Processing"}% @@ -4827,15 +4928,6 @@ pages = {7--23}, publisher = {Kluwer Academic Publishers}, } -@ARTICLE{touzi88, -AUTHOR="Ridha Touzi and Armand Lop{\`e}s and Pierre Bousquet", -TITLE="A {S}tatistical and {G}eometrical {E}dge {D}etector for {SAR} {I}mages", -JOURNAL={IEEE Transactions on Geoscience and Remote Sensing}, -VOLUME=26, -NUMBER=6, -PAGES="764--773", -YEAR=1988, -} @ARTICLE{hu, AUTHOR="M~-~K. Hu", @@ -4847,14 +4939,6 @@ YEAR=1962, PAGES="179--187", } -@ARTICLE{flusserinv, -AUTHOR = "Jan Flusser", -TITLE = "{On the independence of rotation moment invariants}", -JOURNAL = "Pattern Recognition", -VOLUME = 33, -YEAR = 2000, -PAGES = "1405--1410", -} @ARTICLE{Dudani, AUTHOR="S.A. Dudani and K.J. Breeding and R.B. McGhee", @@ -4885,3 +4969,5158 @@ PAGES="382--387", volume = {36}, year = {1998} } +@inproceedings{Li02, +author = "D. Li and H. Sui and P. Xiao", +year = 2002, +title = "Automatic change detection of geo-spatial data from imagery", +booktitle = "Integrated System for Spatial Data Production, Custodian and Decision Support, (Xi'an, China), International Archives of Photogrammetry and Remote Sensing (IAPRS).", +} + +@inproceedings{Vosselman97, +author = "G. Vosselman and M. de Gunst", +year = 1997, +title = "Updating road maps by contextual reasoning", +booktitle = "2nd Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona", +} + +@incollection{Busch98, +author = "A. Busch", +year = 1998, +title = "Revision of built-up areas in a GIS using satellite imagery and GIS data", +booktitle = "Internat. Archives of Photogrammetry and Remote Sensing", +publisher = "ISPRS Commission IV GIS Between Visions and Applications WG IV/III.2", +volume = 32, +} + +@inproceedings{Klang98, +author = "D. Klang", +year = 1998, +title = "Automatic dectection of changes in road databases using satellite imagery", +booktitle = "Internat. Archives of Photogrammetry and Remote Sensing", +volume = 32, +pages = "293--298", +} + +@inproceedings{Baltsavias02, +author = "E. Baltsavias", +year = 2002, +title = "{Object extraction and revision by image analysis using existing geospatial data and knowledge: +State-of-the-art and steps towards operational systems}", +booktitle = "Commission VI Mid-Term symposium, Part 2, (Xi'an, China). International Archives of Photogrammetry and Remote Sensing (IAPRS)", +pages = "13--22", +volume = "XXXIV", +} + +@inproceedings{Sakamoto04, +author = "M. Sakamoto", +year = 2004, +title = "Automatic detection of damage area in Iran earthquake by high-resolution imagery", +booktitle = "IGARS2004, (Alaska)", +} + + +@INPROCEEDINGS{Rochery03, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = sep, + year = 2003, + title = {{\'E}tude D'une Nouvelle Classe de Contours Actifs Pour la + D{\'e}tection de Routes Dans Des Images de T{\'e}l{\'e}d{\'e}tection}, + booktitle = gretsi, + address = {Paris, France}, + abstract = {In this paper, we describe a new class of active contours. We + propose an energy which is quadratic in the space of 1-chains, as + opposed to classical energies which are linear, in order to + introduce global constraints on the contour. This energy is + applied to the automatic extraction of road networks in remote + sensing images.} +} +@INPROCEEDINGS{Rochery03a, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = oct, + year = 2003, + title = {Higher Order Active Contours and their Application to the Detection + of Line Networks in Satellite Imagery}, + booktitle = vlsm, + address = {at ICCV, Nice, France}, + abstract = {We present a novel method for the incorporation of shape + information into active contour models, and apply it to the + extraction of line networks (e.g. road, water) from satellite + imagery. The method is based on a new class of contour energies. + These energies are quadratic on the space of one-chains in the + image, as opposed to classical energies, which are linear. They + can be expressed as double integrals on the contour, and thus + incorporate non-trivial interactions between different contour + points. The new energies describe families of contours that share + complex geometric properties, without making reference to any + particular shape. Networks fall into such a family, and to model + them we make a particular choice of quadratic energy whose minima + are reticulated. To optimize the energies, we use a level set + approach. The forces derived from the new energies are non-local + however, thus necessitating an extension of standard level set + methods. Promising experimental results are obtained using real + images.} +} + +@TECHREPORT{Rochery03b, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = dec, + year = 2003, + title = {Contours actifs d'ordre sup{\'e}rieur appliqu{\'e}s {\`a} la + d{\'e}tection de lin{\'e}iques dans des images de + t{\'e}l{\'e}d{\'e}tection}, + number = 5063, + address = {France}, + institution = {{INRIA}}, + type = {Research Report}, + abstract = {In this report, we introduce a new class of active contour + energies, quadratic on the space of 1-chains, as opposed to + classical energies, which are linear. These energies define non + trivial interactions between different points of the contour, and + thus allow the incorporation of a priori shape information + through the generation of non-local forces that carry geometric + information. They also allow the definition of complex data terms + linking the data at different points of the contour. To solve the + models, we use the level set methodology, in the process + extending the standard evolution methods to deal with the + non-locality of the forces involved. We use this new approach in + order to define models for the extraction of line networks + (roads, rivers, ...) in satellite imagery. We show some results + on real-world images.} +} + +@INPROCEEDINGS{Rochery04, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = oct, + year = 2004, + title = {Gap closure in (road) networks using higher-order active contours}, + booktitle = icip, + address = {Singapore}, + annote = {D:\Data\Researcher\Projects\Higher-Order + Snakes\Publications\ICIP04\Rochery04.pdf}, + abstract = {We present a new model for the extraction of networks from + images in the presence of occlusions. Such occlusions cause gaps + in the extracted network that need to be closed. Using + higher-order active contours, which allow the incorporation of + sophisticated geometric information, we introduce a new, + non-local, `gap closure' force that causes pairs of network + extremities that are close together to extend towards one another + and join, thus closing the gap between them. We demonstrate the + bene ts of the model using the problem of road network + extraction, presenting results on aerial images.} +} + +@INPROCEEDINGS{Rochery05, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = sep, + year = 2005, + title = {New higher-order active contour energies for network extraction}, + booktitle = icip, + address = {Genoa, Italy}, + annote = {D:\Data\Researcher\Projects\Higher-Order + Snakes\Publications\ICIP05\Rochery05.pdf}, + abstract = {Using the framework of higher-order active + contours, we present a new quadratic {\em continuation energy} + for the extraction of line networks (\eg road, hydrographic, + vascular) in the presence of occlusions. Occlusions create gaps + in the data that frequently translate to gaps in the extracted + network. The new energy penalizes nearby opposing extremities + of the network, and thus favours the closure of the gaps + created by occlusions. Nearby opposing extremities are + identified using a sophisticated interaction between pairs of + points on the contour. This new model allows the extraction of + fully connected networks, even though occlusions violate common + assumptions about the homogeneity of the interior, and high + contrast with the exterior, of the network. We present + experimental results on real aerial images that demonstrate the + effectiveness of the new model for network extraction tasks.} +} + +@INPROCEEDINGS{Rochery05a, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = oct, + year = 2005, + title = {Phase field models and higher-order active contours}, + booktitle = iccv, + address = {Beijing, China}, + abstract = {The representation and modelling of regions is an important topic in + computer vision. In this paper, we represent a region via a level set + of a `phase field' function. The function is not constrained, \eg to be + a distance function; nevertheless, phase field energies equivalent to + classical active contour energies can be defined. They represent an + advantageous alternative to other methods: a linear representation + space; ease of implementation (a PDE with no reinitialization); neutral + initialization; greater topological freedom. We extend the basic phase + field model with terms that reproduce `higher-order active contour' + energies, a powerful way of including prior geometric knowledge in the + active contour framework via nonlocal interactions between contour + points. In addition to the above advantages, the phase field greatly + simplifies the analysis and implementation of the higher-order terms. + We define a phase field model that favours regions composed of thin + arms meeting at junctions, combine this with image terms, and apply the + model to the extraction of line networks from remote sensing images.} +} + +@ARTICLE{Rochery05b, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + title = {Higher order active contours}, + journal = ijcv, + year = 2006, + note = {To appear}, + abstract = {We introduce a new class of active contour models that hold great promise + for region and shape modelling, and we apply a special case of these models + to the extraction of road networks from satellite and aerial imagery. The + new models are arbitrary polynomial functionals on the space of boundaries, + and thus greatly generalize the linear functionals used in classical + contour energies. While classical energies are expressed as single + integrals over the contour, the new energies incorporate multiple + integrals, and thus describe long-range interactions between different sets + of contour points. As prior terms, they describe families of contours that + share complex geometric properties, without making reference to any + particular shape, and they require no pose estimation. As likelihood terms, + they can describe multi-point interactions between the contour and the + data. To optimize the energies, we use a level set approach. The forces + derived from the new energies are non-local however, thus necessitating an + extension of standard level set methods. Networks are a shape family of + great importance in a number of applications, including remote sensing + imagery. To model them, we make a particular choice of prior quadratic + energy that describes reticulated structures, and augment it with a + likelihood term that couples the data at pairs of contour points to their + joint geometry. Promising experimental results are shown on real images.} +} + +@TECHREPORT{Rochery05c, + author = {M. Rochery and I. H. Jermyn and J. Zerubia}, + month = aug, + year = 2005, + title = {Higher order active contours}, + number = 5656, + address = {France}, + institution = {{INRIA}}, + type = {Research Report}, + abstract = {We introduce a new class of active contour models that hold great promise + for region and shape modelling, and we apply a special case of these models + to the extraction of road networks from satellite and aerial imagery. The + new models are arbitrary polynomial functionals on the space of boundaries, + and thus greatly generalize the linear functionals used in classical + contour energies. While classical energies are expressed as single + integrals over the contour, the new energies incorporate multiple + integrals, and thus describe long-range interactions between different sets + of contour points. As prior terms, they describe families of contours that + share complex geometric properties, without making reference to any + particular shape, and they require no pose estimation. As likelihood terms, + they can describe multi-point interactions between the contour and the + data. To optimize the energies, we use a level set approach. The forces + derived from the new energies are non-local however, thus necessitating an + extension of standard level set methods. Networks are a shape family of + great importance in a number of applications, including remote sensing + imagery. To model them, we make a particular choice of prior quadratic + energy that describes reticulated structures, and augment it with a + likelihood term that couples the data at pairs of contour points to their + joint geometry. Promising experimental results are shown on real images.} +} + +@TECHREPORT{Cossu04, + author = {R. Cossu and I. H. Jermyn and K. Brady and J. Zerubia}, + month = feb, + year = 2004, + title = {Models of the Unimodal and Multimodal Statistics of Adaptive + Wavelet Packet Coefficients}, + number = 5122, + institution = {{INRIA}}, + type = {Research Report}, + abstract = {In recent work, it was noted that although the subband + histograms for standard wavelet coefficients take on a + generalized Gaussian form, this is no longer true for wavelet + packet bases adapted to a given texture. Instead, three types of + subband statistics are observed: Gaussian, generalized Gaussian, + and most interestingly, in some subbands, multimodal histograms + with no mode at zero. As will be demonstrated in this report, + these latter subbands are closely linked to the structure of the + texture, and are thus likely to be important for many + applications in which texture plays a role. Motivated by these + observations, we extend the approach to texture modelling + proposed by~\citet{Brady03} to include these subbands. We relax + the Gaussian assumption to include generalized Gaussians and + constrained Gaussian mixtures. We use a Bayesian methodology, + finding MAP estimates for the adaptive basis, for subband model + selection, and for subband model parameters. Results confirm the + effectiveness of the proposed approach, and highlight the + importance of multimodal subbands for texture discrimination and + modelling.}, +} +@INPROCEEDINGS{Cossu04a, + author = {R. Cossu and I. H. Jermyn and J. Zerubia}, + month = may, + year = 2004, + title = {Texture Analysis Using Probabilistic Models of the Unimodal and + Multimodal Statistics of Adaptive Wavelet Packet Coefficients}, + booktitle = icassp, + address = {Montreal, Canada}, + abstract = {Although subband histograms of the wavelet coefficients of + natural images possess a characteristic leptokurtotic form, this + is no longer true for wavelet packet bases adapted to a given + texture. Instead, three types of subband statistics are observed: + Gaussian, leptokurtotic, and interestingly, in some subbands, + multimodal histograms. These subbands are closely linked to the + structure of the texture, and guarantee that the most probable + image is not flat. Motivated by these observations, we propose a + probabilistic model that takes them into account. Adaptive + wavelet packet subbands are modelled as Gaussian, generalized + Gaussian, or a constrained Gaussian mixture. We use a Bayesian + methodology, finding MAP estimates for the adaptive basis, for + subband model selection, and for subband model parameters. + Results confirm the effectiveness of the proposed approach, and + highlight the importance of multimodal subbands for texture + discrimination and modelling.} +} +@INPROCEEDINGS{Cossu04b, + author = {R. Cossu and I. H. Jermyn and J. Zerubia}, + month = oct, + year = 2004, + title = {Texture Discrimination Using Multimodal Wavelet Packet Subbands}, + booktitle = icip, + address = {Singapore}, + annote = {D:\Data\Researcher\Projects\Texture in a Flat + World\Publications\ICIP04Roberto\Cossu04.pdf}, + abstract = {The subband histograms of wavelet packet bases adapted to + individual texture classes often fail to display the + leptokurtotic behaviour shown by the standard wavelet coef cients + of `natural' images. While many subband histograms remain + leptokurtotic in adaptive bases, some subbands are Gaussian. Most + interestingly, however, some subbands show multimodal behaviour, + with no mode at zero. In this paper, we provide evidence for the + existence of these multimodal subbands and show that they + correspond to narrow frequency bands running throughout images of + the texture. They are thus closely linked to the texture's + structure. As such, they seem likely to possess superior + descriptive and discriminative power as compared to unimodal + subbands. We demonstrate this using both Brodatz and remote + sensing images.} +} + +@ARTICLE{46, + author = {Y. Chen and S. Thiruvenkadam and H. D. Tagare and F. Huang and D. + Wilson and E.A. Geiser}, + year = 2001, + title = {On the incorporation of shape priors into geometric active contours}, + journal = vlsm, + pages = {145--152} +} + +@ARTICLE{47, + author = {M. E. Leventon and W. E. L. Grimson and O. Faugeras}, + year = 2000, + title = {Statistical Shape Influence in Geodesic Active Contours}, + journal = cvpr, + volume = 1, + pages = {316--322} +} +@ARTICLE{48, + author = {D. Cremers and C. Schnorr and J. Weickert}, + year = 2001, + title = {Diffusion-snakes: combining statistical shape knowledge and image + information in a variational framework}, + journal = vlsm, + pages = {137--144} +} +@ARTICLE{49, + author = {A. Foulonneau and P. Charbonnier and F. Heitz}, + year = 2003, + title = {Geometric Shape Priors for Region-Based Active Contours}, + journal = icip, + volume = 3, + pages = {413-- 416} +} +@ARTICLE{50, + author = {N. Paragios and M. Rousson}, + year = 2002, + title = {Shape Priors for Level Set Representations}, + journal = eccv, + pages = {78--92} +} + + + + +@Article{Lu04, + AUTHOR = "{D.} Lu and P. Mausel and E. Brondizio and E. Moran", + TITLE = "Change detection techniques", + JOURNAL = IJRS, + VOLUME = "25", + NUMBER = "12", + PAGES = "2365-2407", + YEAR = 2004, + MONTH = {}, + ADDRESS = {}, + NOTE = "" +} + +@Article{Coppin03, + AUTHOR = "P. R. Coppin and I.G. Jonckheere and K. Nachaerts", + TITLE = "Digital change detection in ecosystem monitoring: a review", + JOURNAL = IJRS, + VOLUME = "24", + PAGES = "1-33", + YEAR = 2003, + MONTH = {}, + ADDRESS = {}, + NUMBER = "", + NOTE = "" +} + +@Article{Radke05, + AUTHOR = "R. J. Radke and S. Andra and O. Al-Kofahi and B. Roysman", + TITLE = "Image change detection algorithms: a systematic survey", + JOURNAL = TIP, + VOLUME = "14", + NUMBER = "3", + PAGES = "294-307", + YEAR = 2005, + MONTH = {March}, + ADDRESS = {}, + NOTE = "" +} + +@ARTICLE{Richards05, + author = {J. A. Richards}, + title = {Analysis of remotely sensed data: the formative decades and the fututre}, + journal = TGRS, + year = "2005", + volume = "43", + number = "3", + pages = "422-432" +} + + +@INPROCEEDINGS{Stabel02, + AUTHOR = "{E.} Stabel and {P.} Fischer", + TITLE = "Detection of Structural Changes in River Dynamics by Radar-Based Earth Observation Methods", + BOOKTITLE = "Proc. of the 1st Biennial Meeting of the Int. Environmental Modelling and Software Society", + YEAR = 2002, + ADDRESS = {Lugano, Switzerland}, + NUMBER = "", + PAGES = "352-358", + VOLUME = "1", + MONTH = "June" +} + +@Article{Bruzzone02b, + AUTHOR = "L. Bruzzone and D. F. Prieto", + TITLE = "An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images", + JOURNAL = TIP, + VOLUME = "11", + NUMBER = "4", + PAGES = "452-466", + YEAR = 2002, + MONTH = {April}, + ADDRESS = {}, + NOTE = "" +} + +@INPROCEEDINGS{Onana_2003, + AUTHOR = "{V.P.} Onana and E. Trouv\'e and G. Mauris and {J.P.} Rudant and {P.L.} Frison", + TITLE = "Change detection in urban context with multitemporal {ERS}-{SAR} images by using data fusion approach", + BOOKTITLE = IEEE_C_GRS, + YEAR = 2003, + MONTH = {July, 21-25}, + ADDRESS = {Toulouse, France} +} + +@INPROCEEDINGS{Inglada03, + AUTHOR = "J. Inglada", + TITLE = "Change detection on {SAR} images by using a parametric estimation of the {K}ullback-{L}eibler divergence", + BOOKTITLE = IEEE_C_GRS, + YEAR = 2003, + MONTH = {July, 21-25}, + ADDRESS = {Toulouse, France} +} + + +@inproceedings{Derrode03, + AUTHOR = "{S.} Derrode and {G.} Mercier and W. Pieczynski", + title = "Unsupervised change detection in {SAR} images using a multicomponent hidden {M}arkov chain model", + booktitle = "Second Int. Workshop on the Analysis of Multi-temporal Remote Sensing Images", + volume = "3", + address = "Ispra, Italy", + month = "July 16-18", + year = "2003", + pages = "195-203" +} + + +@Article{Bazi05, + AUTHOR = "Y Bazi and L Bruzzone and F Melgani", + TITLE = "An unsupervised approach based on the generalized {G}aussian model to automatic change detection in multitemporal {SAR} images", + JOURNAL = TGRS, + VOLUME = "43", + NUMBER = "4", + PAGES = "874-887", + YEAR = 2005, + MONTH = {April}, + ADDRESS = {}, + NOTE = "" +} + +@Article{Dai_1998, + AUTHOR = "{X.} {D}ai and {S.} Khorram", + TITLE = "The effect of Image misregistration on the accuracy of remotely sensed change detection", + JOURNAL = TGRS, + MONTH = {September}, + YEAR = 1998, + VOLUME = 36, + NUMBER = 5, + PAGES = "1566-1577" +} + +@Article{Roy_2000, + AUTHOR = "{D.P.} Roy", + TITLE = "The impact of misregistration upon composited wide field of view satellite data and implications for change detection", + JOURNAL = IEEE_C_GRS, + MONTH = {July}, + YEAR = 2000, + VOLUME = 38, + NUMBER = 4, + PAGES = "2017-2032" +} + +@INPROCEEDINGS{Lee_2003, + AUTHOR = "{Y.R.} Lee", + TITLE = "A study on accuracy of georeferencing of multisensor remote sensing images", + BOOKTITLE = "Proc. of the Int. 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Martucci", +title = "A fast direct Fourier-based algorithm for subpixel registration of images", +journal = "IEEE Transactions on Geoscience and Remote Sensing", +volume = 39, +number = 10, +pages = "2235--2243", +year = 2001, +} diff --git a/SoftwareGuide/Latex/Introduction.tex b/SoftwareGuide/Latex/Introduction.tex index 0420fb452a..f57b3edbf8 100644 --- a/SoftwareGuide/Latex/Introduction.tex +++ b/SoftwareGuide/Latex/Introduction.tex @@ -190,25 +190,25 @@ The \code{OTB-Documents} module contains the following subdirectories: teaching OTB. \item \code{OTB-Documents/Latex}---\LaTeX{} styles to produce this work as well as other documents. - \item \code{OTB-Documents/Marketing}---marketing flyers and - literature used to succinctly describe OTB. - \item \code{OTB-Documents/Papers}---papers related to the many - algorithms, data representations, and software tools used in OTB. + %\item \code{OTB-Documents/Marketing}---marketing flyers and + %literature used to succinctly describe OTB. + %\item \code{OTB-Documents/Papers}---papers related to the many + %algorithms, data representations, and software tools used in OTB. \item \code{OTB-Documents/SoftwareGuide}---\LaTeX{} files used to create this guide. (Note that the code found in \code{OTB/Examples} is used in conjunction with these \LaTeX{} files.) - \item \code{OTB-Documents/Validation}---validation case studies - using OTB. + %\item \code{OTB-Documents/Validation}---validation case studies + %using OTB. \end{itemize} The \code{OTB-Applications} module contains large, relatively complex -examples of OTB usage. See the web pages at -\url{http://www.itk.org/HTML/Applications.htm}\textbf{FIXME} for a description. Some of -these applications require GUI toolkits such as FLTK or other packages -such as VTK (\emph{The Visualization Toolkit} -\url{http://www.vtk.org}). Do not attempt to compile and build this module -until you have successfully built the core \code{OTB} module. +examples of OTB usage.%% See the web pages at +%% \url{http://www.itk.org/HTML/Applications.htm}\textbf{FIXME} for a description. Some of +%% these applications require GUI toolkits such as FLTK or other packages +%% such as VTK (\emph{The Visualization Toolkit} +%% \url{http://www.vtk.org}). Do not attempt to compile and build this module +%% until you have successfully built the core \code{OTB} module. \subsection{Documentation} diff --git a/SoftwareGuide/Latex/SoftwareGuide.tex b/SoftwareGuide/Latex/SoftwareGuide.tex index 6fe5976edb..2ccecc66a0 100644 --- a/SoftwareGuide/Latex/SoftwareGuide.tex +++ b/SoftwareGuide/Latex/SoftwareGuide.tex @@ -218,8 +218,8 @@ colorlinks,linkcolor={blue},citecolor={blue},urlcolor={blue}, %%% \input{Applications.tex} -\part{Developper's guide} -\input{Iterators.tex} +%%%\part{Developper's guide} +%%%\input{Iterators.tex} \backmatter %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- GitLab