Remote Sensing Segmentation Benchmark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00386540" target="_blank" >RIV/67985556:_____/12:00386540 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PPRS.2012.6398320" target="_blank" >http://dx.doi.org/10.1109/PPRS.2012.6398320</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PPRS.2012.6398320" target="_blank" >10.1109/PPRS.2012.6398320</a>
Alternative languages
Result language
angličtina
Original language name
Remote Sensing Segmentation Benchmark
Original language 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 datasetscontain 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 bytesting and comparing six remote sensing segmentation algorithms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)
ISBN
978-1-4673-4960-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE Press
Place of publication
Piscataway, NJ
Event location
Tsukuba Science City
Event date
Nov 11, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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