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  • Outline of the software guide after the MR:

     Contents
    List of Figures
    List of Tables
    I  Introduction
    1 System Overview
     1.1 System Organization
     1.2 Essential System Concepts
     1.3 Data Representation
     1.4 Data Processing Pipeline
    II  Tutorials
    2 Building Simple Applications with OTB
     2.1 Hello world
     2.2 Pipeline basics: read and write
     2.3 Filtering pipeline
     2.4 Handling types: scaling output
     2.5 Working with multispectral or color images
     2.6 Going from raw satellite images to useful products
    III  User’s guide
    3 Data Representation
     3.1 Image
    4 Reading and Writing Images
     4.1 Basic Example
     4.2 Reading, Casting and Writing Images
     4.3 Extracting Regions
     4.4 Reading and Writing Vector Images
     4.5 Reading and Writing Multiband Images
     4.6 Reading Image Series
    5 Reading and Writing Auxiliary Data
     5.1 Reading DEM Files
     5.2 Elevation management with OTB
     5.3 Reading and Writing Shapefiles and KML
    6 Basic Filtering
     6.1 Thresholding
     6.2 Mathematical operations on images
    7 Disparity Map Estimation
     7.1 Disparity Maps
     7.2 Regular grid disparity map estimation
     7.3 Stereo reconstruction
    8 Orthorectification and Map Projection
     8.1 Orthorectification with OTB
     8.2 Vector data projection manipulation
     8.3 Geometries projection manipulation
     8.4 Vector data area extraction
    9 Radiometry
     9.1 Radiometric Indices
     9.2 Atmospheric Corrections
    10 Image Fusion
     10.1 Simple Pan Sharpening
     10.2 Bayesian Data Fusion
    11 Feature Extraction
     11.1 Textures
     11.2 Interest Points
     11.3 Density Features
     11.4 Geometric Moments
     11.5 Road extraction
     11.6 Cloud Detection
    12 Image Simulation
     12.1 PROSAIL model
     12.2 Image Simulation
    13 Dimension Reduction
     13.1 Principal Component Analysis
     13.2 Noise-Adjusted Principal Components Analysis
     13.3 Maximum Noise Fraction
     13.4 Fast Independent Component Analysis
     13.5 Maximum Autocorrelation Factor
    14 Classification
     14.1 Machine Learning Framework
     14.2 Unsupervised classification
     14.3 Fusion of Classification maps
     14.4 Classification map regularization
    15 Object-based Image Analysis
     15.1 Object Filtering based on radiometric and statistics attributes
     15.2 Hoover metrics to compare segmentations
    16 Change Detection
     16.1 Simple Detectors
     16.2 Statistical Detectors
     16.3 Multi-Scale Detectors
     16.4 Multi-components detectors
    17 Hyperspectral
    18 Image Visualization and output
     18.1 Images
    IV  Developer’s guide
    19 Iterators
     19.1 Introduction
     19.2 Programming Interface
     19.3 Image Iterators
     19.4 Neighborhood Iterators
    20 Streaming and Threading
     20.1 Introduction
     20.2 Streaming and threading in OTB
     20.3 Division strategies
    21 How To Write A Filter
     21.1 Terminology
     21.2 Overview of Filter Creation
     21.3 Streaming Large Data
     21.4 Threaded Filter Execution
     21.5 Filter Conventions
     21.6 How To Write A Composite Filter
    22 Persistent filters
     22.1 Introduction
     22.2 Architecture
     22.3 An end-to-end example
    23 How to write an application
     23.1 Application design
     23.2 Architecture of the class
     23.3 Composite application
     23.4 Compile your application
     23.5 Execute your application
     23.6 Testing your application
     23.7 Application Example
    24 Adding New Modules
     24.1 How to Write a Module
     24.2 The otb-module.cmake file
     24.3 The CMakeLists.txt file
     24.4 The include folder
     24.5 The src folder
     24.6 The app folder
     24.7 The test folder
     24.8 Including a remote module in OTB
    Bibliography
    Index 
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