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Automatic extraction method of water bodies based on landsat OLI multispectral remote sensing images

A remote sensing image, automatic extraction technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of high labor consumption and achieve high-precision results

Active Publication Date: 2018-07-27
TONGJI UNIV
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Problems solved by technology

For the water body index, most of the water body indexes set the threshold as 0 to segment the water body and non-water body (McFeeters, 1996; Xu, 2006), but in the actual situation, due to the different experimental areas, the water body index image The optimal segmentation threshold is often a dynamically changing quantity (Ji et al., 2009), and if each water extraction relies on artificially selecting the threshold, it will consume a lot of manpower

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  • Automatic extraction method of water bodies based on landsat OLI multispectral remote sensing images
  • Automatic extraction method of water bodies based on landsat OLI multispectral remote sensing images
  • Automatic extraction method of water bodies based on landsat OLI multispectral remote sensing images

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[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0032] This embodiment provides a water body automatic extraction method based on Landsat OLI multi-spectral remote sensing images. This method makes full use of the relatively rich spectral information of Landssat 8 OLI multi-spectral remote sensing images, and selects water features in the image that are highly distinguishable from other features. In order to form a new normalized water body index, the classic Otsu algorithm is introduced into the water body extraction to realize the automatic water body extraction on remote sensing images, including the following steps:

[0033] 1)...

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Abstract

The invention relates to an automatic water body extraction method based on a Landsat OLI multispectral remote sensing image. The method comprises the following steps: (1), design and calculation of a normalized difference water index (NDWI); (2), automatic extraction of a water body threshold value; (3), water body extraction result obtaining and drawing. Compared with prior art, according to characteristics of all wave bands of the Landsat OLI multispectral remote sensing image, the wave bands are combined to construct several kinds of novel NDWI indexes; and automatic extraction is carried out on a water body range of the remote sensing image by combining an Otsu image segmentation algorithm. The method has advantages of high precision, simpleness, and effectiveness and the like.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to an automatic water extraction method based on Landsat OLI multi-spectral remote sensing images. Background technique [0002] Landsat satellite imagery is the most widely used multispectral remote sensing image data source in water body extraction research. The successful launch of the new generation of Landsat 8 satellite continues the application of Landsat multispectral remote sensing imagery, and will inevitably promote water body extraction based on multispectral remote sensing imagery. research development. In the application research of water body extraction, the water body index is currently the most widely used water body extraction method due to its simplicity and high efficiency. Currently, several water body indices have been applied to remote sensing image water body extraction, as shown in Table 1. For the water body index, most of the water...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136
CPCG06T7/11G06T2207/10032
Inventor 谢欢罗新童小华刘世杰陈鹏许雄
Owner TONGJI UNIV