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A Method for Extracting Continuous River Skeleton Lines from Remote Sensing Images Based on Mathematical Morphology

A mathematical morphology and remote sensing image technology, applied in the field of remote sensing image processing, can solve problems such as the extraction of river skeleton lines and fractures

Active Publication Date: 2019-04-09
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the problem of extracting broken river skeleton lines in the prior art, the present invention provides a method for extracting continuous river skeleton lines from remote sensing images based on mathematical morphology. On the basis of obtaining the initial fractured skeleton lines, the fractures are adaptively connected , and remove the pseudo-connection lines to obtain continuous river skeleton lines

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  • A Method for Extracting Continuous River Skeleton Lines from Remote Sensing Images Based on Mathematical Morphology
  • A Method for Extracting Continuous River Skeleton Lines from Remote Sensing Images Based on Mathematical Morphology
  • A Method for Extracting Continuous River Skeleton Lines from Remote Sensing Images Based on Mathematical Morphology

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Embodiment Construction

[0044] Specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described here are for illustration only, and are not intended to limit the present invention.

[0045] 1. Extract the initial river skeleton line.

[0046] Calculate the NDWI index of the image, Among them, R green is the green band of the image, R NIR is the near-infrared band of the image;

[0047] Perform histogram statistics on the NDWI index of the image, use the estimation method to calculate the segmentation threshold, and extract the water body;

[0048] Use the Rosenfeld thinning algorithm to extract the skeleton line of the water body, the value of the skeleton pixel is 1, and the value of the background pixel is 0;

[0049] 2. Adaptive connection of broken skeleton lines.

[0050] Statistics of the eight neighbors of the skeleton pixel, the value DN of the skeleton pixeli =∑ j∈I DN j , I is the eight-neighborhood set of pixel i, s...

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Abstract

The invention discloses a method for extracting continuous river skeleton lines from remote sensing images based on mathematical morphology. The invention adopts the method of thinning rivers after extracting water bodies to extract initial river skeleton lines, and performs adaptive connection for the broken skeleton lines. For the types with long fracture distances and single fracture forms, the method of local expansion and refinement of the endpoints is used to connect, and for the aggregation of multiple endpoints when the river skeleton has branches, the expansion method is used to limit the aggregation range of the endpoints, and the collection of rivers entering at one end and exiting at the other end feature, connect both ends connected to the range. The connection lines are de-aliased through the river features, and finally a continuous river skeleton line is obtained.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a method for extracting continuous river skeleton lines from remote sensing images based on mathematical morphology. Background technique [0002] At present, the extraction of river skeleton lines in the water conservancy industry mainly relies on on-site surveying and mapping, manual delineation, heavy workload and long work cycle. Especially with the improvement of image resolution, users have put forward higher requirements for the accuracy of river skeleton lines. Extracting river skeleton lines from remote sensing images can effectively reduce the workload of manual delineation and ensure that the skeleton lines are located in the center of the river. This has also become the inevitable result of the combination of remote sensing technology and water conservancy business. However, the skeleton line extracted by this method is affected by the leakage of water ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/182
Inventor 孟令奎李珏任润东张文王锐胡正华
Owner WUHAN UNIV