NDLI: Optimum segmentation of simple objects in high-resolution remote sensing imagery in coastal areas

Content Provider	Springer Nature Link
Author	Chen, Jianyu Pan, Delu Mao, Zhihua
Copyright Year	2006
Abstract	The optimum segmentation of ground objects in a landscape is essential for interpretation of high-resolution remotely sensed imagery and detection of objects; and it is also a technical foundation to efficiently use spatial information in remote sensing imagery. Landscapes are complex system composed of a large number of heterogeneous components. There are many explicit homogeneous image objects that have similar spectral character and yet differ from surrounding objects in high-resolution remote sensing imagery. Thereby, a new concept of Distinctive Feature of fractal is put forward and used in deriving Distinctive Feature curve of fractal evolution in multiscale segmentation. Through distinguishing the extremum condition of Distinctive Feature curve and the inclusion relationship of fractals in multiscale representation the Scalar Order is built. This can help to determinate the optimum scale in image segmentation for simple-objects, and the potential meaningful image-object fitting the intrinsic scale of the dominant landscape object can be obtained. Based on the application in high-resolution remote sensing imagery in coastal areas, a satisfactory result was acquired.
Starting Page	1195
Ending Page	1203
Page Count	9
File Format	PDF
ISSN	10069313
Journal	Science in China Series D: Earth Sciences
Volume Number	49
Issue Number	11
e-ISSN	18622801
Language	English
Publisher	Science in China Press
Publisher Date	2006-01-01
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	optimum scale multiscale segmentation image interpretation remote sensing coastal area Geosciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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