Title :
A method for characterizing information of anomaly change of land-use types
Author :
Hui Ren ; Hongrui Zhao
Author_Institution :
Dept. of Civil Eng., Tsinghua Univ., Beijing, China
Abstract :
Land use types are important parameters in the evaluation of the ecological environment. Through the analysis of land use change information, we can partly gain the understanding of the evolution status of a region´s economic, social, cultural, and ecological environment. Based on the theory of probability and introducing the information entropy concept, the paper puts forward the concept of land-use anomaly entropy (LUAE). Through actual experiment, it shows that the index can express the land-use change information effectively. The requirement is low for the registration accuracy and resolution of the images, so that can be used to analysis multi-source and multi-scale images, which will has a good application prospect.
Keywords :
geophysical image processing; geophysical techniques; image registration; LUAE concept; cultural environment; ecological environment; ecological environment evaluation; economic environment; image registration accuracy; image resolution; information entropy concept; land use change information; land-use anomaly entropy; land-use type anomaly change; multiscale image analysis; multisource image analysis; social environment; Accuracy; Data mining; Entropy; Image resolution; Indexes; Remote sensing; Satellites; entropy; land-use change;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626200