A Method for Precise Segmentation of Buildings in Remote Sensing Images

A technology of remote sensing images and buildings, applied in image analysis, neural learning methods, image enhancement, etc., can solve problems such as difficult to capture image detail information, inaccurate identification of building edge areas, etc., to reduce network complexity and improve The effect of generalization ability and low network complexity
CN112862774BActive Publication Date: 2021-12-07CHONGQING GEOMATICS & REMOTE SENSING CENT +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING GEOMATICS & REMOTE SENSING CENT
Publication Date
2021-12-07

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Abstract

The invention discloses a method for accurately segmenting buildings in remote sensing images. , using the multi-scale compound loss function combined with Dice Loss and BCE Loss to train the constructed building extraction network; input the remote sensing image to be extracted into the trained building extraction network to obtain the building extraction result. Its remarkable effect is: feature learning, strong generalization ability; low network complexity, easy to train; high precision of building extraction.
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Description

technical field

[0001] The invention relates to the technical field of automatic extraction of remote sensing image information, in particular to a method for accurately segmenting remote sensing image buildings. Background technique

[0002] Building extraction is a classic problem in the field of automatic extraction of remote sensing image information. Its main purpose is to identify and extract building areas in remote sensing images. The results of building extraction are widely used in many fields, such as military reconnaissance, environmental protection, cartography and geographic analysis, etc. Therefore, building extraction has important research value.

[0003] Most of the traditional methods use recognition algorithms based on the linear features of building edges. This type of method has the advantages of simplicity and high efficiency, but has defects such as low recognition rate and many errors. Such methods often cause misjudgment of building shadows, and l...

Claims

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