Title :
An improved method for cloud removal in ASTER data change detection
Author :
Chun, Feng ; Jian-Wen, Ma ; Qin, Dai ; Xue, Chen
Author_Institution :
Inst. of Land Resources & High Techniques, China Univ. of Geosciences, Beijing
Abstract :
ASTER data with 15 m resolution in visible and near infrared bands are proper data for urban change detection. Often proper data (without cloud) cannot be acquired conveniently. So cloud removal is a very important step before making comparisons. Traditional methods have some shortcomings. Thus, based on statistical characters of image information, an improved homomorphism filtering method is put forward. Instead of the filtering in frequency field, it isolates the low frequency component of the image representing cloud information with calculating neighborhood average in spatial field. An experiment indicates that the method can obtain good results and performs faster than traditional methods
Keywords :
atmospheric optics; clouds; geophysical signal processing; image recognition; image resolution; remote sensing; ASTER data change detection; cloud removal; cloud-free data; homomorphism filtering; near infrared band; urban change detection; visible band; Clouds; Frequency; Geology; Geoscience and remote sensing; Information filtering; Information filters; Infrared detectors; Land surface; Remote sensing; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370431