| bibtype |
J -
Journal Article
|
| ARLID |
0445995 |
| utime |
20240103210313.5 |
| mtime |
20150723235959.9 |
| WOS |
000358569400032 |
| SCOPUS |
84937682939 |
| DOI |
10.1109/JSTARS.2015.2416656 |
| title
(primary) (eng) |
Benchmarking of Remote Sensing Segmentation Methods |
| specification |
| page_count |
9 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0344460 |
| ISSN |
1939-1404 |
| title
|
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| volume_id |
8 |
| volume |
5 (2015) |
| page_num |
2240-2248 |
|
| keyword |
benchmark |
| keyword |
remote sensing segmentation |
| keyword |
unsupervised segmentation |
| keyword |
supervised segmentation |
| author
(primary) |
| ARLID |
cav_un_auth*0101165 |
| name1 |
Mikeš |
| name2 |
Stanislav |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0216377 |
| name1 |
Scarpa |
| name2 |
G. |
| country |
IT |
|
| author
|
| ARLID |
cav_un_auth*0253271 |
| name1 |
Gaetano |
| name2 |
R. |
| country |
IT |
|
| source |
|
| cas_special |
| project |
| project_id |
GA14-10911S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0303439 |
|
| abstract
(eng) |
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. |
| reportyear |
2016 |
| RIV |
BD |
| num_of_auth |
4 |
| mrcbC52 |
4 A hod 4ah 20231122141043.5 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0247991 |
| mrcbC64 |
1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE |
| confidential |
S |
| mrcbT16-e |
ENGINEERINGELECTRICALELECTRONIC|GEOGRAPHYPHYSICAL|IMAGINGSCIENCEPHOTOGRAPHICTECHNOLOGY|REMOTESENSING |
| mrcbT16-j |
0.707 |
| mrcbT16-s |
1.536 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
54.902 |
| mrcbT16-C |
67.510 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q3 |
| arlyear |
2015 |
| mrcbTft |
\nSoubory v repozitáři: haindl-0445995.pdf |
| mrcbU14 |
84937682939 SCOPUS |
| mrcbU34 |
000358569400032 WOS |
| mrcbU63 |
cav_un_epca*0344460 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1939-1404 2151-1535 Roč. 8 č. 5 2015 2240 2248 |
|