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
Tsai, I. C., Lin, C. H., & Hsu, W. Y. (2012). Color compensation for cloud shadows. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (Vol. 3, pp. 1894-1897)