Sea and Land Segmentation Method of Infrared Remote Sensing Image Based on Coastline Matching

A technology of sea and land segmentation and remote sensing image, applied in image analysis, image enhancement, image data processing and other directions, can solve problems such as discontinuity and edge loss, and achieve the effect of avoiding segmentation errors, improving efficiency, and reducing a large number of holes.

Active Publication Date: 2021-01-19
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is good for images with simple land environment and obvious coastline grayscale changes, but for complex land environments, it is easy to generate more edge lines, edge loss, discontinuity, etc., and for complex sea and land edges with noise Ineffective

Method used

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  • Sea and Land Segmentation Method of Infrared Remote Sensing Image Based on Coastline Matching
  • Sea and Land Segmentation Method of Infrared Remote Sensing Image Based on Coastline Matching
  • Sea and Land Segmentation Method of Infrared Remote Sensing Image Based on Coastline Matching

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Embodiment Construction

[0039] Next, use figure 2 The infrared remote sensing image shown is the image to be segmented. The specific implementation steps of the GIS-based sea-land segmentation method for infrared remote sensing images provided by this application will be described in detail. For the processing flow, see figure 1 . figure 2 The size of the medium remote sensing image is 7680 pixels × 7680 pixels.

[0040] Step 1: According to the GIS library information, the figure 2 Carry out sea and land segmentation, the segmentation result is as follows image 3 ,Bundle figure 2 Divide it into blocks of m×m size, calculate the geographical coordinates of the upper left corner and lower right corner of the image block, take the block between these two points in the GIS database, sample to the same size as the original image block, and find the sea-land junction block such as Figure 4 ;

[0041] Step 2: Use k-means to sequentially Figure 4 The sea-land junction block in the block is divi...

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Abstract

The application discloses a GIS-based infrared remote sensing image ship detection method, which mainly includes the following steps: first use the GIS database information to find the sea-land junction image block, and extract the feature vector of the image; then use the improved k-means method to image The eigenvectors are clustered to obtain the sea-land segmentation binary image of the image block; finally, the obtained binary image is used to perform sliding matching in the GIS library of the corresponding position to find the position with the highest matching degree as the error value of the coordinate solution. Use this The coordinates are corrected to obtain the final sea-land segmentation result.

Description

technical field [0001] The application belongs to the technical field of digital image processing, and relates to a method for segmenting land and sea in remote sensing images, more specifically, a method for segmenting land and sea in infrared remote sensing images based on GIS. Background technique [0002] Our country has a vast sea area and rich marine resources. As an important carrier of maritime transportation, ships have broad application prospects. Ship target detection is the task of various coastal countries in the world: in terms of civilian use, it can monitor the shipping traffic conditions in various ports, quickly search for ships in distress, monitor illegal fishing ships and immigrants, and combat illegal dumping of oil pollution and smuggling; in military Above all, it can monitor the enemy's maritime military strength and deployment, form maritime military intelligence, and maintain national security and territorial integrity. Satellite remote sensing te...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/10
CPCG06T7/10G06T2207/10048G06T2207/10032G06V20/13G06V10/462G06F18/23213
Inventor 肖慧慧李波赵鹏季艳
Owner BEIHANG UNIV
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