Document Type
Article
Publication Date
7-1-2018
Department
Emergency Management
Abstract
Cloud removal is significantly needed for enhancing the further utilization of Landsat imagery, since such optical remote sensing satellite images are inevitably contaminated by clouds. Clouds dynamically affect the signal transmission due to their different shapes, heights, and distribution. Generally, pixel replacement is the only and common method used to remove thick opaque clouds, and radiometric correction techniques has been widely adopted to remove the thin clouds. However, no methods can remove both thick and thin clouds at the same time. In this paper, a new method is proposed based on fitting “trajectory” of cloudy pixels with the help of IHOT spatially charactering clouds for pixel correction, which considers signal transmission including not only the additive reflectance from the clouds but also the energy attenuation when solar radiation passes through them. The experimental results show that the proposed approach performs effective removal for thick and thin clouds, and possesses the highest accuracy with the reference image, which can restore land cover information accurately.
DOI
10.3390/rs10071040
Volume
10
Issue
7
Publication Title
Remote Sensing
ISSN
2072-4292
Recommended Citation
Chen, Shuli; Chen, Xuehong; Chen, Xiang; Chen, Jin; Cao, Xin; Shen, Miaogen; Yang, Wei; and Cui, Xihong, "A Novel Cloud Removal Method Based on Ihot and the Cloud Trajectories for Landsat Imagery" (2018). Faculty Publications - Emergency Management & Homeland Security. 8.
https://orc.library.atu.edu/faculty_pub_em/8
Comments
© 2018, the authors.
This work is licensed under a Creative Commons Attribution 4.0 International License
Chen, Shuli, Chen, Xuehong, et al. (2018). A Novel Cloud Removal Method Based on Ihot and the Cloud Trajectories for Landsat Imagery. Remote Sensing, 10(7). doi:10.3390/rs10071040