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.
|主出版物標題||33rd Asian Conference on Remote Sensing 2012, ACRS 2012|
|出版狀態||已發佈 - 2012|
|事件||33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, 泰国|
持續時間: 11月 26 2012 → 11月 30 2012
|會議||33rd Asian Conference on Remote Sensing 2012, ACRS 2012|
|期間||11/26/12 → 11/30/12|
ASJC Scopus subject areas