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A mangrove extraction method and system based on remote sensing images

A remote sensing image and extraction method technology, applied in the field of remote sensing, can solve problems such as the inability to accurately extract the spatial information of mangroves, and achieve the effect of improving accuracy

Active Publication Date: 2018-12-11
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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Problems solved by technology

[0003] Traditional mangrove spatial extraction methods only use spectral information and cannot accurately extract mangrove spatial information

Method used

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  • A mangrove extraction method and system based on remote sensing images
  • A mangrove extraction method and system based on remote sensing images

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] The object of the present invention is to provide a method and system for extracting mangroves based on remote sensing images, so as to improve the accuracy of spatial extraction of mangroves.

[0040] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] fig...

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Abstract

The invention discloses a mangrove extraction method and system based on remote sensing images. The method comprises the following steps: acquiring remote sensing images of an area to be studied; using remote sensing images to identify the water area of the area to be studied; taking the edge of each water body region as the starting point to extend a certain distance to the outside of each waterbody region, and determining the water-land boundary region; obtaining the pseudocolor image of a land-water interface by pseudocolor synthesis technology; segmenting the false color image according to pixel similarity to obtain a plurality of segmented images; dividing the vegetation types and the non-vegetation types into several segmented regions, and removing the regions belonging to the non-vegetation types to obtain a plurality of vegetation region images; based on the texture and topological features of mangroves, classifying the mangrove images into mangrove images and non-mangrove images. The method and the system of the invention can improve the accuracy of mangrove spatial extraction.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method and system for extracting mangroves based on remote sensing images. Background technique [0002] Mangrove refers to the tidal flat wetland woody biome composed of evergreen shrubs or trees that grow in the upper part of the tropical and subtropical low-energy coastal intertidal zone and are flooded by periodic tides. Composed species include herbs, vines and mangroves. Mangroves grow in tidal flats and shoals at the junction of the land and the ocean, and are a special ecosystem where the land transitions to the ocean. Because mangroves have the functions of protecting against wind and berms, stabilizing coastlines, and purifying water quality, studying the distribution of mangroves is of great significance for effectively strengthening the protection and management of mangrove wetlands and ecological restoration. [0003] Traditional mangrove spatial extractio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136
CPCG06T2207/10032G06T2207/30188G06T7/11G06T7/136
Inventor 王宗明贾明明毛德华任春颖何兴元
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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