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Mangrove recognition method and system

A recognition method, mangrove technology, applied in the field of image processing, can solve the problem of low recognition efficiency

Active Publication Date: 2017-05-24
SPACE STAR TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a method and system for mangrove identification to solve the problem of low identification efficiency of traditional mangrove detection technology

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  • Mangrove recognition method and system

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Embodiment Construction

[0063] The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of various embodiments of the present disclosure as defined by the claims and their equivalents. The following description includes various specific details to aid in understanding, but these are to be regarded as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the various embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions may be omitted for clarity and conciseness.

[0064] The terms and words used in the following description and claims are not limited to the bibliographical meanings, but, are merely used by the inventor to enable a clear and consistent understanding of the present disclosure. Accordingly, it should be apparent to those skilled in the art tha...

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Abstract

The invention discloses a mangrove recognition method and system. The mangrove recognition method comprises the steps of reading a remote sensing image to be recognized, processing the remote sensing image to be recognized by adopting a pseudo color synthesis technology so acquire a corresponding pseudo color image; performing object-oriented multi-scale adaptive segmentation on the pseudo color image based on a super-pixel algorithm so as to acquire a plurality of pseudo color sub-images; performing calculation on attribute parameters for each pseudo color sub-image, and generating corresponding to-be-recognized files carrying vector information; performing mangrove recognition on each to-be-recognized file by applying a comprehensive feature based mangrove recognition algorithm, and acquiring a mangrove area in the remote sensing image to be recognized. According to the invention, adaptive segmentation is performed on the remote sensing image to be recognized by adopting the super-pixel algorithm, pixels in the remote sensing image are grouped by using the feature similarity between the pixels, and the complexity of subsequent image processing tasks is reduced, so that the mangrove recognition efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a mangrove recognition method and system. Background technique [0002] Mangroves are a unique woody plant community that grows on intertidal tidal flats in tropical and subtropical coastal areas. They belong to evergreen broad-leaved forests and are of great significance to environmental protection, ecological balance and biodiversity protection in coastal areas. Since mangroves are mainly distributed on saline soils in bays or estuaries with deep silt, their special growth environment is not conducive to large-scale field surveys, and remote sensing technology is often used for rapid monitoring and investigation. Therefore, the mangrove detection technology based on remote sensing images is of great significance. At present, the traditional mangrove detection technologies based on remote sensing images mainly include visual interpretation method, band combination meth...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/00G06T7/40
CPCG06T2207/30188G06T2207/20004G06T2207/10041G06F18/23213G06F18/2411
Inventor 宋芳妮王玮哲赵军陈元伟覃文建
Owner SPACE STAR TECH CO LTD
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