By Wayne L. Myers
This e-book describes an built-in method of utilizing remotely sensed information along side geographic info platforms for panorama research. Remotely sensed facts are compressed into an analytical image-map that's suitable with the preferred geographic info structures in addition to freeware audience. The method is leading for landscapes that show a suggested mosaic trend of land disguise.
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Extra info for Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis (Environmental and Ecological Statistics)
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Forest Service, Pacific Northwest Research Station. 122 p. Mirkin, B. 2005. Clustering for Data Mining. Boca Raton, FL: Chapman & Hall/CRC, Taylor & Francis. 266 p. , J. Bishop, R. Brooks, T. O'Connell, D. Argent, G. Storm, J. Stauffer, Jr. and R. Carline. 2000. The Pennsylvania GAP Analysis Final Report. The Pennsylvania State University, Univ. Park, PA 16802. , J. Bishop, R. Brooks and G. P. Patil. 2001. Composite Spatial Indexing of Regional Habitat Importance. Community Ecology 2(2): 213-220.
All of the pixels in a particular posterior pattern will share the same property point, which serves as proxy for whatever property point was applicable in a prior pattern. If a pattern process operates recursively, we call it a progressive pattern process and refer to its recursive sequence of pattern sets as a pattern progression. Since it operates across the image lattice L, we use the symbol £ to denote a pattern process. An important aspect of pattern processes is the strength of the patterns that they produce.