Segmentation and classification of high spatial resolution images based on Hölder exponents and variance

Segmentation and classification of high spatial resolution images based on Hölder exponents and variance

Pixel-based or texture-based classification technique individually does not yield an appropriate result in classifying the high spatial resolution remote sensing imagery since it comprises textured and non-textured regions. In this study, Hölder exponents (HE) and variance (VAR) are used together to...

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Bibliographic Details
Main Authors: Debasish Chakraborty, Sourabh Singh, Dibyendu Dutta
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Geo-spatial Information Science
Subjects:
High-resolution image
texture
segmentation
Hölder exponents
variance
contrast
classification
ISODATA
Online Access:http://dx.doi.org/10.1080/10095020.2017.1307660

Internet

http://dx.doi.org/10.1080/10095020.2017.1307660

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