Extraction method of snow cover in alpine mountainous area using high-resolution remote sensing images

Abstract

The invention relates to the field of remote sensing technology, and discloses a method for extracting snow in alpine mountainous areas by using high-resolution remote sensing images, comprising the following steps: Step S1), using an optimal scale fractal network evolution segmentation algorithm to perform extraction on the high-resolution remote sensing images. Segmentation to obtain a high-resolution image object; step S2), using the high-resolution image object to construct a feature map of a high-dimensional image object; step S3), constructing a deep confidence network model; step S4), constructing a fully connected conditional random field model; step S5), output the snow extraction result. The method of the invention has stronger applicability to different sensor data, and is more suitable for snow extraction of high-resolution remote sensing images; the object-oriented idea is used to combine the deep belief network with the fully connected conditional random field model, and the high-resolution The spectrum, shape, texture and spatial relationship information of the image can eliminate the salt and pepper phenomenon in the snow extraction results and improve the accuracy of snow extraction.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method for extracting snow in alpine mountainous areas by using high-resolution remote sensing images. Background technique [0002] Restricted by factors such as topography, geology and environmental protection, it is difficult to quantitatively obtain snow cover data in alpine mountainous areas by traditional methods of geography and meteorology. With the rapid development of remote sensing technology, new technology means are provided for snow cover monitoring. [0003] Currently MODIS data and its snow cover products are widely used in snow cover monitoring. "Study on the Method of Identifying Snow Cover in Qilian Mountains Using MODIS Data" (Wang Xing, Zhang Qiang, Guo Niobium, etc., "Arid Meteorology", Volume 25, No. 2, June 2007), reveals the use of MODIS images of The snow cover area was extracted using the Normalized Difference Snow Index (NDSI) index. "Study...

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Problems solved by technology

Furthermore, considering that using traditional pixel-based methods to extract snow areas on high-resolution images is prone to salt and pepper phenomena, and high-resolution images contain rich information such as texture, geometry, and spatial relationships, it is urgent to provide a high-resolution image of alpine mountain area. Snow extraction method to effectively eliminate the salt and pepper phenomenon in the snow extraction results, so as to obtain accurate and continuous snow areas

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