A Soil Type Identification Method Based on Spectral Surface Matching

Abstract

The invention discloses a soil type identification method based on spectral curved surface matching. The method comprises the steps that firstly, profile depth interpolation processing and first-order derivation processing are conducted on the spectral reflectivity of each generation layer of to-be-identified soil profiles, and spectral curved surfaces of the to-be-identified soil profiles are generated; secondly, according to each soil profile in a soil sample database and the spectral reflectivity of each generation layer of the soil profiles, profile depth interpolation processing and first-order derivation processing are conducted on, and the spectral curved surface of each soil profile is generated; finally, spectral curve surface matching is conducted, and the soil types of the to-be-identified soil profiles are identified. In this way, depth interpolation processing, derivation processing, spectral curve surface generation and spectral curve surface similarity judgment are carried out on the basis of the spectral reflectivity of each soil profile, different depth soil spectral data in the soil profiles are integrated for matching, and accordingly the final soil types are identified.

Description

technical field [0001] The invention relates to a soil type identification method, in particular to a soil type identification method based on spectral surface matching, and belongs to the technical field of soil geography and pattern identification. Background technique [0002] Soil classification is based on the comprehensive differences in soil physical properties, classifying soil types at different levels, so as to promote agricultural technology and improve soil according to local conditions. The identification of soil types needs to obtain a large amount of diagnostic information such as soil morphology, physics, chemistry and even biology. Some of the information (such as morphology, bulk density, etc.) can be obtained by visual observation or simple measurement, but most of the physical and chemical information is in the traditional It can only be obtained after laboratory testing and analysis. Therefore, the identification and identification of soil types is usua...

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Problems solved by technology

Due to its high cost and low efficiency, traditional methods usually have problems such as large sampling scale, sparse sampling density, and low survey frequency, and it is difficult to meet the needs of dynamic, fast, and low-cost acquisition and update of soil information.

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