Watershed water body extraction method combining spectral characteristics and confluence cumulant
A water body extraction and spectral feature technology, which is applied in the field of remote sensing image water body information interpretation, can solve the problems of difficulty in determining the optimal threshold of water extraction, limited DEM accuracy, and inability to respond well, achieving good applicability and guaranteed calculation. Efficient, accessible results
Active Publication Date: 2020-10-20
HOHAI UNIV
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Problems solved by technology
This method is simple and easy, and can directly generate connected river networks, but it is often difficult to determine the optimal threshold for extracting water systems, and is limited by the accuracy of DEM. The water systems extracted by this method often cannot well reflect the distribution of actual water systems.
Existing water extraction methods based on spectral features will produce a large number of false positive errors (FP, False Positive)
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[0046]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0047] Aiming at the problems in the background technology, the first turning point in the "slope-confluence cumulant correlation diagram symbolizes the transition from divergent topography to convergent topography, and also indicates the change of water dominant formation process (Kirkby, 1986; Tarboton et al. , 1992; Georgiou, 1993)", it can be considered that the confluence accumulation at the first turning point of the slope-confluence accumulation correlation diagram represents the minimum confluence accumulation limit of the generated water body, so as to generate Correcting the water body map can reduce the identification errors in the water body map and increase the accuracy and scientificity of water body identification.
[0048] Such as fi...
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The invention discloses a watershed water body extraction method combining spectral characteristics and confluence cumulant. The watershed water body extraction method comprises the following steps ofidentifying a watershed water body by utilizing a sentinel No.2 multispectral image and outputting a corresponding water body graph; utilizing the DEM data to solve the average gradient and the confluence cumulant of the corresponding drainage basin and analyzing the average gradient-confluence cumulant correlation of the drainage basin; finally, the confluence cumulant at the first turning pointof the average slope-confluence cumulant correlation being used as the minimum limit for forming the water body to correct the water body map, and a more accurate basin water body map being obtained.The method has advantages of high calculation precision, wide application range, more scientific and reasonable result and the like, and is beneficial to accurately acquiring the water body distribution condition of the drainage basin.
Description
technical field [0001] The invention relates to the technical field of water body information interpretation of remote sensing images, in particular to a method for extracting water body in a watershed by combining spectral features and confluence accumulation. Background technique [0002] Surface water bodies are an important part of the Earth's water cycle, and obtaining the distribution of surface water bodies in a watershed is crucial for hydrological analysis. Due to the huge workload of on-site labeling, the extraction of surface water bodies in watersheds is generally carried out by digital methods. At present, optical remote sensing images have become a routine means of monitoring surface water bodies. The data collected by them can provide macroscopic, real-time, dynamic water body distribution information and have high cost-effectiveness. [0003] McFeeters proposed the normalized difference water index (NDWI, Normalized Difference Water Index) in 1996. This meth...
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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/13G06V10/40
Inventor 费俊源刘金涛吴鹏飞刘杨洋
Owner HOHAI UNIV