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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. (en)
Title
  • Remote Sensing Segmentation Benchmark
  • Remote Sensing Segmentation Benchmark (en)
skos:prefLabel
  • Remote Sensing Segmentation Benchmark
  • Remote Sensing Segmentation Benchmark (en)
skos:notation
  • RIV/67985556:_____/12:00386540!RIV13-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0593), P(GAP103/11/0335)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 164965
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/12:00386540
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • remote sensing; segmentation; benchmark (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4295ABB8069A]
http://linked.open...v/mistoKonaniAkce
  • Tsukuba Science City
http://linked.open...i/riv/mistoVydani
  • Piscataway, NJ
http://linked.open...i/riv/nazevZdroje
  • 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Haindl, Michal
  • Mikeš, Stanislav
  • Scarpa, G.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/PPRS.2012.6398320
http://purl.org/ne...btex#hasPublisher
  • IEEE Press
https://schema.org/isbn
  • 978-1-4673-4960-4
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