GNSS World of China

Volume 45 Issue 3
Jun.  2020
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CHEN Pengdi, HUANG Liang, XIA Yan, YANG Zenan. Forestland extraction method of hyperspectral image combined with multi-feature HSV transform[J]. GNSS World of China, 2020, 45(3): 104-109. doi: DOI:10.13442/j.gnss.1008-9268.2020.03.018
Citation: CHEN Pengdi, HUANG Liang, XIA Yan, YANG Zenan. Forestland extraction method of hyperspectral image combined with multi-feature HSV transform[J]. GNSS World of China, 2020, 45(3): 104-109. doi: DOI:10.13442/j.gnss.1008-9268.2020.03.018
shu

Forestland extraction method of hyperspectral image combined with multi-feature HSV transform

doi: DOI:10.13442/j.gnss.1008-9268.2020.03.018
  • 1.

    Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China

  • 2.

    Surveying and Mapping GeoInformatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming 650093, China

  • Publish Date: 2020-06-15
    Abstract
  • At present, the method of extraction forestland is mainly based on selecting samples by supervised or semi-supervised, and the efficiency is low. For this reason, this paper proposes a multi-feature HSV transform hyperspectral image forestland extraction method. We first performs relation correction processing of original remote sensing images.Then use the parameters of normalized vegetation index (NDVI) and principal component analysis (PCA) to obtain the composite images. Finally, HSV transform is used to extract forest land information through color segmentation of image by setting color value range. The results show that the extraction accuracy of the high-resolution forestland can reach 96.29％, and indicated the effectiveness of the method.

     

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