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Remote Sensing Segmentation Benchmark
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SYSNO ASEP 0386540 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Remote Sensing Segmentation Benchmark Author(s) Mikeš, Stanislav (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCID
Scarpa, G. (IT)Number of authors 3 Source Title 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS). - Piscataway, NJ : IEEE Press, 2012 - ISBN 978-1-4673-4960-4 Pages s. 1-4 Number of pages 4 s. Publication form Print - P Action IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) Event date 11.11.2012 VEvent location Tsukuba Science City Country JP - Japan Event type WRD Language eng - English Country US - United States Keywords remote sensing ; segmentation ; benchmark Subject RIV BD - Theory of Information R&D Projects GAP103/11/0335 GA ČR - Czech Science Foundation (CSF) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) DOI 10.1109/PPRS.2012.6398320 Annotation 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 ({/bf 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 ten-spectral 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2013
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