From 31318fec94888b72f3159a5cc79aaa7d3410b673 Mon Sep 17 00:00:00 2001 From: Manuel Grizonnet <manuel.grizonnet@cnes.fr> Date: Mon, 7 Dec 2015 11:32:17 +0100 Subject: [PATCH] ENH: add remote module for object oriented classification --- Modules/Remote/SertitObject.remote.cmake | 27 ++++++++++++++++++++++++ 1 file changed, 27 insertions(+) create mode 100644 Modules/Remote/SertitObject.remote.cmake diff --git a/Modules/Remote/SertitObject.remote.cmake b/Modules/Remote/SertitObject.remote.cmake new file mode 100644 index 0000000000..8bb9d48930 --- /dev/null +++ b/Modules/Remote/SertitObject.remote.cmake @@ -0,0 +1,27 @@ +#Contact: Rémi Cresson <remi.cresson@teledetection.fr> +otb_fetch_module(SertitObject + "This module provides 2 applications dedicated to object-oriented image analysis. + + Aggregate application: + +The aim of this application is to merge the result of a segmentation with a +pixel-based image classification in order to produce an object-oriented image +classification. The input segmentation is a labeled image, typically the result +provided by the OTB application LSMSSegmentation. The output is a vector dataset +containing objects and the corresponding class in the attribute table. Connected +regions belonging to the same class are merged. This application could be used +at the last step of the LSMS pipeline in replacement of the application +LSMSVectorization. + + ObjectsRadiometricStatistics application: + +This application computes radiometric and shape attributes on a vector dataset, +using an image. The results are stored in the attribute table. Shape attributes +are : number of pixels, flatness, roundness, elongation, perimeter. Radiometric +attributes are for each band of the input image : mean, standard-deviation, +median, variance, kurtosis, skewness. The result could be use to perform futher +object-oriented image analysis. +" + GIT_REPOSITORY https://github.com/sertit/SertitObject.git + GIT_TAG 90c369e9a197b3f83cb18e1d7bc594313fef63d5 +) -- GitLab