Cloud Detection in Landsat5 Images Based on Template Gradient

Author:

Ma Ying Zhao1,Jiao Wei Li1,Wei Wang1

Affiliation:

1. Chinese Academy of Sciences

Abstract

Cloud is an important factor affect the quality of optical remote sensing image. How to automatically detect the cloud cover of an image, reduce of useless data transmission, make great significance of higher data rate usefulness. This paper represent a method based on Lansat5 data, which can automatically mark the location of clouds region in each image, and effective calculated for each cloud cover, remove useless remote sensing images.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

1. MA Ying-zhao, JIAO Wei-li, et al. An Integrated Method To Generate A Cloud-free Image Automatically Based On Landsat5 Data,. Proceedings of 2010 International Conference on Intelligent Computation Technology and Automation, 2010, Vol 1, page453-456.

2. KANG Xiao-guang, SUN Long-xiang. Automatic cloud detection algorithm on artificial neural networks,. Journal of PLA University of Science and Technology, 2005, Vol. 6No. 5, pp.506-510.

3. W-H. Lee, J-I. Kudoh,S. Makino. Cloud detection for the Far East region using NOAA AVHRR images,. International Jornal of Remote Sensing, 1999, Vol. 22, pp.1349-1360.

4. LIU Zhi-gang, LI Yuan-xiang. loud Detection of MODIS Satellite Images Based on Dynamical cluster,. Remote Sensing Information. 2007, Vol. 7, pp.33-35.

5. TIAN Yang-jun , XUE Chun-ji. Detection and Removal of Clouds and Their Shadows from Remote Sensing Images,. Journal of Earth Sciences and Environment., 2007, Vol. 29, No. 3, pp.300-303.

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