Soil type identification method based on spectral curved surface matching
A technology of surface matching and type identification, applied in soil type identification and soil type identification based on spectral surface matching, can solve the problems of sparse sampling density, difficult soil information dynamics, fast and low-cost acquisition and update, and large sampling scale.
Active Publication Date: 2017-09-22
INST OF SOIL SCI CHINESE ACAD OF SCI +1
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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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[0030] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0031] Visible-near-infrared diffuse reflectance spectroscopy is the most frequently used spectral region for rapid determination of various physical and chemical parameters of soil. Visible-near-infrared diffuse reflectance spectroscopy can not only quantitatively analyze moisture, clay, iron oxides, organic Basic soil parameters such as carbon and total nitrogen can also better predict other soil parameters (such as cation exchange capacity) that do not have clear absorption characteristics and are correlated with basic soil parameters.
[0032] The change of basic material composition of soil is not only the reflection of soil development process, but also the basis for determining soil diagnostic index and type classification, and also the main factor affecting soil reflectance spectrum. In soil survey and mapping, i...
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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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Login to View More IPC IPC(8): G01N21/25
CPCG01N21/25G01N2201/12
Inventor 解宪丽李安波李德成
Owner INST OF SOIL SCI CHINESE ACAD OF SCI