Extraction of metamorphic minerals by multiscale segmentation combined with random forest

The identification of metamorphic minerals is the basis of metamorphic rock research. Extraction of mineral information by remote sensing technology has been widely used. Digital image processing technology is also effectively applied to remote sensing image processing. Results show that the band ra...

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Bibliographic Details
Published in工程科学学报 Vol. 44; no. 2; pp. 170 - 179
Main Authors Shu-lan TANG, Yong MENG, Guo-qiang WANG, Tao BU
Format Journal Article
LanguageChinese
Published Science Press 01.02.2022
Subjects
aster
mineral extraction
multiscale segmentation
random forest
variogram
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Summary:The identification of metamorphic minerals is the basis of metamorphic rock research. Extraction of mineral information by remote sensing technology has been widely used. Digital image processing technology is also effectively applied to remote sensing image processing. Results show that the band ratio of remote sensing images can enhance mineral information, while the variogram function can describe the spatial correlation and variability of image pixels and extract more detailed texture information. The metamorphic minerals are found to present a block or strip distribution. The object-oriented remote sensing image information extraction method can avoid the “salt and pepper phenomenon” based on pixel extraction. Meanwhile, the random forest classification method has a fast calculation speed and high parameter accuracy. It is not sensitive to the noise caused by more lithologic components and its classification effect is found to be stable. To improve the extraction accuracy of metamorphic minerals from rem
ISSN:2095-9389
DOI:10.13374/j.issn2095-9389.2020.09.08.004