论文信息 - Understanding change: echelon approach to characterize spatial structures of change in remote-sensing imagery

Understanding change: echelon approach to characterize spatial structures of change in remote-sensing imagery

Most existing methods for change detection and, more generally, change analysis, aim at providing measurements which can be used to understand the dynamics of phenomena of interest. This paper goes one step further and investigates a method that can be used to characterize the spatial behavior of change.

P. C. Smits | W. L. Myers

[1] Hans-Hellmut Nagel,et al. New likelihood test methods for change detection in image sequences , 1984, Comput. Vis. Graph. Image Process..

[2] Hassan J. Eghbali,et al. K-S Test for Detecting Changes from Landsat Imagery Data , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[3] Ramesh C. Jain,et al. Illumination independent change detection for real world image sequences , 1989, Comput. Vis. Graph. Image Process..

[4] Ramesh C. Jain,et al. Separating Non-Stationary from Stationary Scene Components in a Sequence of Real World TV Images , 1977, IJCAI.

[5] G. P. Patil,et al. Echelon approach to areas of concern in synoptic regional monitoring , 2004, Environmental and Ecological Statistics.