Design and application of multicolor image identification in soil pollution component detection
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GMGDA 2019
Design and application of multicolor image identification in soil pollution component detection Tingting Han 1 Received: 26 May 2020 / Accepted: 13 August 2020 # Saudi Society for Geosciences 2020
Abstract Aiming at the problem that the accuracy of the results obtained by traditional methods is low, the spectral detection in soil pollution component detection method is used to design multicolor heavy metal image identification. The soil reflectance spectra were measured using an ASD Fieldspec FR spectrometer to obtain soil heavy metal spectral data. Spectral absorption bands, spectral transformations and combinations, correlation analysis, and curve fitting operations are used to process and analyze spectral data. Among them, spectral transformation and combination are used to decompose overlapping mixed spectra by firstorder and second-order differential operations, to expand the spectral characteristics of heavy metals in different soils, and to extract high-quality spectral data of soil heavy metals. The spectral data is combined with Newton’s classic rainbow spectrum to obtain different heavy metal spectral colors. Based on this, multicolor image identification of soil pollution components is designed. The results show that the multicolor heavy metal image identification can be used to design the multicolor heavy metal image identification by the spectral detection in the soil pollution component detection method, and it can play the pollution warning role. Keywords Soil pollution . Component detection . Multicolor . Image identification . Design and application . Spectral detection
Introduction Soil environmental problems, represented by the high content of heavy metals in soil, have become increasingly prominent, which not only restrict the rapid development of economy but also seriously affect the safety of agricultural products and human health. Therefore, the problem of soil heavy metal pollution has caused widespread concern. The traditional research on soil heavy metal pollution is to obtain the heavy metal content of each sampling point through the physical and chemical analysis in the laboratory. This method can obtain high measurement accuracy. However, due to the high-sampling conditions, long time consuming, and low labor efficiency, it is difficult to obtain the spatial continuous element distribution information (Zhan et al. 2017). The development of This article is part of the Topical Collection on Geological Modeling and Geospatial Data Analysis * Tingting Han [email protected] 1
Department of Arts, Taiyuan University, Taiyuan 030032, China
hyperspectral remote sensing technology provides a new way to quickly obtain soil heavy metal information, and the technology has the characteristics of short cycle, high efficiency, and wide range of information acquisition (Martin et al. 2018). At present, many scholars have studied the application of hyperspectral remote sensing technology in soil heavy metal pollution detection. Among them, Liu Zhaoxian and other scholars jointly studied th
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