Automating the Build-Up Process of Feature-Based Fuzzy Logic Models for the Identification of Urban Biotopes from Hyperspectral Remote Sensing Data

Author(s):  
Mathias Bochow ◽  
Karl Segl ◽  
Hermann Kaufmann
2002 ◽  
Author(s):  
Bing Zhang ◽  
Liangyun Liu ◽  
Yongchao Zhao ◽  
Genxing Xu ◽  
Lanfen Zheng ◽  
...  

2004 ◽  
Vol 2004 (2) ◽  
pp. 287-300
Author(s):  
Hema Nair

This paper presents an approach to describe patterns in remote-sensed images utilising fuzzy logic. The truth of a linguistic proposition such as “Y isF” can be determined for each pattern characterised by a tuple in the database, where Y is the pattern andFis a summary that applies to that pattern. This proposition is formulated in terms of primary quantitative measures, such as area, length, perimeter, and so forth, of the pattern. Fuzzy descriptions of linguistic summaries help to evaluate the degree to which a summary describes a pattern or object in the database. Techniques, such as clustering and genetic algorithms, are used to mine images. Image mining is a relatively new area of research. It is used to extract patterns from multidated satellite images of a geographic area.


2019 ◽  
Vol 116 (7) ◽  
pp. 1124 ◽  
Author(s):  
C. S. Jha ◽  
, Rakesh ◽  
J. Singhal ◽  
C. S. Reddy ◽  
G. Rajashekar ◽  
...  

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