Abstract
Cloud covers are generally present in optical satellite images, thereby limiting the usage of optical images and increasing the difficulty of image analysis. In this paper, a cloud shadow compensation approach aiming at easing difficulties suffered from cloud covers is introduced. In the proposed approach, information of shadow pixels is compensated by a statistic adjustment method and a global optimization process. Experimental analyses on the satellite images acquired by the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor were conducted. The results including quantitative and qualitative analyses on simulated data show that our method can successfully compensate for the intensities of shadow pixels.
| Original language | English |
|---|---|
| Title of host publication | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 |
| Pages | 1894-1897 |
| Number of pages | 4 |
| Volume | 3 |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand Duration: Nov 26 2012 → Nov 30 2012 |
Conference
| Conference | 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 |
|---|---|
| Country | Thailand |
| City | Pattaya |
| Period | 11/26/12 → 11/30/12 |
Fingerprint
Keywords
- Histogram Matching
- Remote Sensing Images
- Shadow Detection
ASJC Scopus subject areas
- Information Systems
Cite this
Color compensation for cloud shadows. / Tsai, I. Chun; Lin, Chao Hung; Hsu, Wei Yen.
33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol. 3 2012. p. 1894-1897.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Color compensation for cloud shadows
AU - Tsai, I. Chun
AU - Lin, Chao Hung
AU - Hsu, Wei Yen
PY - 2012
Y1 - 2012
N2 - Cloud covers are generally present in optical satellite images, thereby limiting the usage of optical images and increasing the difficulty of image analysis. In this paper, a cloud shadow compensation approach aiming at easing difficulties suffered from cloud covers is introduced. In the proposed approach, information of shadow pixels is compensated by a statistic adjustment method and a global optimization process. Experimental analyses on the satellite images acquired by the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor were conducted. The results including quantitative and qualitative analyses on simulated data show that our method can successfully compensate for the intensities of shadow pixels.
AB - Cloud covers are generally present in optical satellite images, thereby limiting the usage of optical images and increasing the difficulty of image analysis. In this paper, a cloud shadow compensation approach aiming at easing difficulties suffered from cloud covers is introduced. In the proposed approach, information of shadow pixels is compensated by a statistic adjustment method and a global optimization process. Experimental analyses on the satellite images acquired by the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor were conducted. The results including quantitative and qualitative analyses on simulated data show that our method can successfully compensate for the intensities of shadow pixels.
KW - Histogram Matching
KW - Remote Sensing Images
KW - Shadow Detection
UR - http://www.scopus.com/inward/record.url?scp=84880008046&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880008046&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84880008046
SN - 9781622769742
VL - 3
SP - 1894
EP - 1897
BT - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012
ER -