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Superpixel-based method for parallel segmentation of remote sensing image

A remote sensing image and superpixel technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of high time consumption and large space occupation, and achieve the effect of improving segmentation speed, improving adaptability, and enhancing edges.

Active Publication Date: 2018-11-16
XIDIAN UNIV
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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention proposes a fast, accurate and easy-to-implement engineering remote sensing image parallel segmentation method, aiming to solve the problems of traditional serial segmentation that consume a lot of time and occupy a large space

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  • Superpixel-based method for parallel segmentation of remote sensing image
  • Superpixel-based method for parallel segmentation of remote sensing image
  • Superpixel-based method for parallel segmentation of remote sensing image

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Embodiment Construction

[0050] The present invention will be described in further detail below in conjunction with specific examples, but the embodiments of the present invention are not limited thereto.

[0051] Aiming at the limitations of traditional algorithms, the present invention proposes a parallel segmentation method based on superpixels. The goal is to generate uniform superpixels with precise boundaries and high speed, and can be applied to super-large-size images. First, analyze the multi-band information of the remote sensing image, improve the traditional three-band combination, and select the four-band combination with the maximum image entropy to generate a false color image; then, divide the generated image into bands, and use multi-core computer and OpenMPI (Open Multi-Processing) Based on the advantages, the SLIC parallel segmentation processing is performed in blocks; the region merging algorithm is designed to determine the adjacency relationship of the parallel segmentation resul...

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Abstract

The invention relates to a superpixel-based method for parallel segmentation of a remote sensing image. The method comprises: a false color image is synthesized at a combined waveband; band-shaped block division is carried out on the false color image; parallel SLIC segmentation is carried out on all sub blocks; a regional adjacency map at a boundary is established; boundary region combination iscarried out; a region tag is updated; full-image tag recombination is carried out; and a segmentation result is stored. According to the invention, on the basis fusion of false color image generation,parallel segmentation, regional heterogeneity evaluation, boundary combination processing, and run length code compression and storage and the like, the high accuracy of the segmentation edge is ensured, the segmentation speed is increased, and the method is suitable for realizing engineering application of the algorithm.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image segmentation, relates to the processing of remote sensing data information and the segmentation of digital images, in particular to a method for area segmentation of remote sensing images captured by surveying and mapping satellites. Background technique [0002] With the rapid development of aerospace science, revolutionary changes have taken place in the photography and surveying technology of the earth. Remote sensing images are widely used in town planning, environmental protection, geological exploration, disaster assessment and military fields because of their good time phase, rich information and continuously improving resolution. Remote sensing image segmentation is an important prerequisite for quantitative evaluation of the actual image area, and the quality of its segmentation directly affects the accuracy of subsequent analysis, recognition, and interpretation. Remote sen...

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Application Information

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IPC IPC(8): G06T7/13G06T7/187
CPCG06T7/13G06T7/187G06T2207/10024G06T2207/10032G06T2207/20021
Inventor 朱娟娟张恩泽刘硕珣赵阳郭彦宗朱倩蓓
Owner XIDIAN UNIV
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