Benchmarking of Remote Sensing Segmentation Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00445995" target="_blank" >RIV/67985556:_____/15:00445995 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/JSTARS.2015.2416656" target="_blank" >http://dx.doi.org/10.1109/JSTARS.2015.2416656</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSTARS.2015.2416656" target="_blank" >10.1109/JSTARS.2015.2416656</a>
Alternative languages
Result language
angličtina
Original language name
Benchmarking of Remote Sensing Segmentation Methods
Original language description
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-spectralALI 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 techni
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN
1939-1404
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
2240-2248
UT code for WoS article
000358569400032
EID of the result in the Scopus database
2-s2.0-84937682939