Abstract
Soil and water conservation is one of the key measures to improve the ecological environment of small watersheds and maintain the healthy life of the region. With the current method used to monitor the evolution of topographic and hydrological characteristics of a small watershed, the edge keeping index of the image and the signal-to-noise ratio of the image are low, the monitoring results are inaccurate, and there are some problems such as low edge keeping ability, poor denoising effect, and low monitoring accuracy. A monitoring method based on remote sensing and GIS for the evolution of topographic and hydrological characteristics of small watersheds is proposed. The hyperspectral data was transformed by the Principal Component Analysis (PCA). Group principal component images, use sparse representation method based on adaptive dictionary and dual-tree complex wavelet transform method to denoise principal component images with a small amount of information were the objectives of the paper; also the use the multi-scale wavelet transform to detect image edge; build a binary model of a pixel, extract vegetation index, and terrain factor based on a binary model of the pixel, and realize terrain and hydrological characteristics of the small watershed. The experimental results show that the proposed method has the high edge-preserving ability, good denoising effect, and high monitoring accuracy.
Highlights
With the continuous development of human society and the economy, various environmental problems have been paid attention to all over the world
Based on the advantages of spectral dimension transformation and dictionary learning, the evolution monitoring method of topographic and hydrological characteristics of small watersheds based on remote sensing and GIS solves the problem of remote sensing image denoising
Combined with the classic principal component analysis and the image denoising model based on the K-SVD algorithm, a new remote sensing image denoising method is proposed
Summary
With the continuous development of human society and the economy, various environmental problems have been paid attention to all over the world. Cao et al (2018) spliced the DEM of each sample area standard map into a data unit, and extracted the slope length with the standard map of the medium basin and buffer zone as the unit, and compared and analyzed the graph, statistical characteristics, and work efficiency of the extraction results, so as to realize the monitoring of the evolution of topographic and hydrological characteristics of the small watershed. This method cannot remove the remote sensing image, there is a problem of poor denoising effect (Cao et al, 2018).
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