DocumentCode :
3649671
Title :
Remote sensing segmentation benchmark
Author :
Stanislav Mikeš;Michal Haindl;Giuseppe Scarpa
Author_Institution :
Institute of Information Theory and Automation of the ASCR, 182 08 Prague, Czech Republic
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
In this work we present the enrichment of the Prague texture segmentation data-generator and benchmark (PTSDB) also for the assessment of the remote sensing image segmenters. The PTSDB tool is a web based (http://mosaic.utia.cas.cz) service designed for real-time performance evaluation, mutual comparison, and ranking of various supervised or unsupervised static or dynamic image segmenters. PTSDB supports rapid verification and development of new segmentation approaches. The remote sensing datasets contain tenspectral ALI satellite images and their RGB subsets, with optional additive noise resistance checking. Alternative setting options allow to test also scale, rotation or illumination invariance. The benchmark functionality is demonstrated by testing and comparing six remote sensing segmentation algorithms.
Keywords :
"Benchmark testing","Image segmentation","Remote sensing","Satellites","Accuracy","Noise","Performance evaluation"
Publisher :
ieee
Conference_Titel :
Pattern Recognition in Remote Sensing (PRRS), 2012 IAPR Workshop on
Print_ISBN :
978-1-4673-4960-4
Type :
conf
DOI :
10.1109/PPRS.2012.6398320
Filename :
6398320
Link To Document :
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