Characterization of information content in remote sensing imagery

Remote sensing imagery acquired at various spatial and radiometric resolutions is used to estimate certain geophysical parameters, gauge the extent of geophysical phenomena, or detect the presence of specific targets. The information content in an image is related to several variables including resolution (both spatial and radiometric), the spatial scale of features to be recognized, the mean radiometric intensity and intensity distribution of various target types, as well as the image statistical characteristics. Textural measures appropriate for specific applications are analyzed in terms of resolution tradeoffs in order to yield the required information content.

[1]  Hideyuki Tamura,et al.  Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Helen C. Shen,et al.  Texture Representation and Classification: The Feature Frequency Matrix Approach , 1996 .

[4]  Fumiaki Tomita,et al.  Computer analysis of visual textures , 1990 .

[5]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..