NDLI: Texture-based forest segmentation in satellite images

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Texture-based forest segmentation in satellite images

Content Provider	Scilit
Author	Sai, S. V. Mikhailov, E. V.
Copyright Year	2017
Description	Journal: Journal of Physics: Conference Series NDVI images are often used to segment vegetation areas in satellite images. Unfortunately, NDVI lack information to effectively separate forest regions from grass regions, as it is computed basing solely on spectral characteristics of red and infrared bands, and both forest and grass display similar spectral characteristics. On the other hand, forest areas are visually distinguishable, as they contain a lot of small shadows or dark spots in satellite images, while grass areas look flat. In the paper, we use this observation by extracting simple texture features from the panchromatic band. In our case, it was enough to compute standard deviation for a sliding window to separate forest from grass.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/803/1/012133/pdf http://iopscience.iop.org/article/10.1088/1742-6596/803/1/012133/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/803/1/012133
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	803
Language	English
Publisher	IOP Publishing
Publisher Date	2017-01-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Urban and Regional Planning Satellite Images Images Ndvi
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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