Quantifying Degrees of Information in Remote Sensing Imagery

Zongjian Lin 1 +, Bing Deng 2 
1 Chinese Academy of Surveying and Mapping, 16 Beitaiping Road, Haidian District, Beijing 100039, China
2 School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Abstract. So far there’s been no metrology on the measurement of information of remote sensing imagery. We introduce the conception “Information quantity” from  information theory to solve this problem. In this paper, the method and formulation for calculating information content of remote sensing imagery are discussed. Furthermore, we calculate the information quantity of some imagery and analyze the factors that affect the calculation on information quantity.

Keywords: information quantity, uncertainty, entropy, remote sensing imagery, correlation

In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).