Title
An Iterative Haze Optimized Transformation for Automatic Cloud/Haze Detection of Landsat Imagery.
Abstract
Most previous haze/cloud detection methods for Landsat imagery, e.g., haze optimized transformation (HOT), cannot adequately suppress land surface information and, in particular, often overestimate haze thickness over bright surfaces. This paper proposes an iterative HOT (IHOT) for improving haze detection with the help of a corresponding clear image. With an iterative procedure of regressions amo...
Year
DOI
Venue
2016
10.1109/TGRS.2015.2504369
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Earth,Remote sensing,Satellites,Clouds,Land surface,Indexes,Multivariate regression
Meteorology,Cloud detection,Data set,Remote sensing,Reflectivity,Mathematics,Haze,Cloud computing
Journal
Volume
Issue
ISSN
54
5
0196-2892
Citations 
PageRank 
References 
8
0.54
6
Authors
6
Name
Order
Citations
PageRank
Shuli Chen181.22
Xuehong Chen2736.90
Jin Chen325931.87
Pengfei Jia480.54
Xin Cao5155.20
Canyou Liu680.54