Abstract
In order to solve the problems of time-consuming, low-precision, and incomplete image details when extracting soil physical and chemical information, this paper proposes a soil physical and chemical information extraction method based on hyperspectral remote sensing technology. Through graying, filtering, and contrast enhancement of remote sensing image, the extraction model of soil physical and chemical information is established, and the thermal intensity of hyperspectral remote sensing image is adaptively fused. The template matching technology is used to enhance the information of the sand soil hyperspectral remote sensing image. The hyperspectral remote sensing feature is used to extract the image feature, and the brightness component is used to analyze the detail transmission of the image. The simulation results show that the method has high accuracy in extracting physical and chemical information of sand, and the resolution and accuracy of image details are good, which can effectively improve the recognition ability of hyperspectral remote sensing image features of Jerusalem artichoke planting sandy soil.
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This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis
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Yan, Z., Liu, Y. Extraction of physical and chemical information from soil based on hyperspectral remote sensing based on plantation of Jerusalem artichoke. Arab J Geosci 13, 908 (2020). https://doi.org/10.1007/s12517-020-05848-z
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DOI: https://doi.org/10.1007/s12517-020-05848-z