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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F12%3A00386540%21RIV13-GA0-67985556
rdf:type
skos:Concept n18:Vysledek
dcterms:description
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. 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.
dcterms:title
Remote Sensing Segmentation Benchmark Remote Sensing Segmentation Benchmark
skos:prefLabel
Remote Sensing Segmentation Benchmark Remote Sensing Segmentation Benchmark
skos:notation
RIV/67985556:_____/12:00386540!RIV13-GA0-67985556
n18:predkladatel
n22:ico%3A67985556
n3:aktivita
n20:P
n3:aktivity
P(GA102/08/0593), P(GAP103/11/0335)
n3:dodaniDat
n17:2013
n3:domaciTvurceVysledku
n15:2890542 n15:2812495
n3:druhVysledku
n13:D
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
164965
n3:idVysledku
RIV/67985556:_____/12:00386540
n3:jazykVysledku
n10:eng
n3:klicovaSlova
remote sensing; segmentation; benchmark
n3:klicoveSlovo
n14:benchmark n14:remote%20sensing n14:segmentation
n3:kontrolniKodProRIV
[4295ABB8069A]
n3:mistoKonaniAkce
Tsukuba Science City
n3:mistoVydani
Piscataway, NJ
n3:nazevZdroje
2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)
n3:obor
n7:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n4:GA102%2F08%2F0593 n4:GAP103%2F11%2F0335
n3:rokUplatneniVysledku
n17:2012
n3:tvurceVysledku
Scarpa, G. Haindl, Michal Mikeš, Stanislav
n3:typAkce
n19:WRD
n3:zahajeniAkce
2012-11-11+01:00
s:numberOfPages
4
n21:doi
10.1109/PPRS.2012.6398320
n11:hasPublisher
IEEE Press
n6:isbn
978-1-4673-4960-4