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Benchmarking of Remote Sensing Segmentation Methods
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SYSNO ASEP 0445995 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Benchmarking of Remote Sensing Segmentation Methods Author(s) Mikeš, Stanislav (UTIA-B) RID
Haindl, Michal (UTIA-B) RID, ORCID
Scarpa, G. (IT)
Gaetano, R. (IT)Number of authors 4 Source Title IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - ISSN 1939-1404
Roč. 8, č. 5 (2015), s. 2240-2248Number of pages 9 s. Publication form Print - P Language eng - English Country US - United States Keywords benchmark ; remote sensing segmentation ; unsupervised segmentation ; supervised segmentation Subject RIV BD - Theory of Information R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000358569400032 EID SCOPUS 84937682939 DOI 10.1109/JSTARS.2015.2416656 Annotation We present the enrichment of the Prague Texture Segmentation Data Generator and Benchmark (PTSDB) to include 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 ten-spectral ALI satellite images, their RGB subsets, and very-high-resolution GeoEye RGB images, with optional additive-noise-resistance checking. Alternative setting options allow us to also test scale, rotation or illumination invariance. The meaningfulness of the newly proposed dataset is demonstrated by testing and comparing several remote sensing segmentation algorithms, and showing that the benchmark figures provide a solid framework for the fair and critical comparison among different techniques. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
Number of the records: 1