| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0386540 |
| utime |
20240103201857.7 |
| mtime |
20130111235959.9 |
| DOI |
10.1109/PPRS.2012.6398320 |
| title
(primary) (eng) |
Remote Sensing Segmentation Benchmark |
| specification |
| page_count |
4 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0386539 |
| ISBN |
978-1-4673-4960-4 |
| title
|
2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) |
| page_num |
1-4 |
| publisher |
| place |
Piscataway, NJ |
| name |
IEEE Press |
| year |
2012 |
|
|
| keyword |
remote sensing |
| keyword |
segmentation |
| keyword |
benchmark |
| 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 |
|
| source |
|
| cas_special |
| project |
| project_id |
409/2011 |
| agency |
CESNET |
| country |
CZ |
|
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| abstract
(eng) |
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. |
| action |
| ARLID |
cav_un_auth*0287434 |
| name |
IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) |
| place |
Tsukuba Science City |
| dates |
11.11.2012 |
| country |
JP |
|
| reportyear |
2013 |
| RIV |
BD |
| num_of_auth |
3 |
| presentation_type |
PR |
| permalink |
http://hdl.handle.net/11104/0216155 |
| arlyear |
2012 |
| mrcbU63 |
cav_un_epca*0386539 2012 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) 978-1-4673-4960-4 1 4 Piscataway, NJ IEEE Press 2012 |
|