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A method of urban shadow detection and removal based on high-resolution remote sensing images

A high-resolution, shadow detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low spectral fidelity, high-resolution urban remote sensing images with high ground and object complexity, and segmentation block color. Unsmooth transition, etc., to enhance smoothness, enhance matching effect, and improve difficult-to-detect effects

Inactive Publication Date: 2019-12-24
WUHAN UNIV +1
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Problems solved by technology

[0005] The present invention mainly solves the problems existing in the prior art, such as the high complexity of high-resolution urban remote sensing images, unsatisfactory segmentation results, unsmooth color transitions between segmentation blocks, and low fidelity of spectral features; it provides a The shadow detection and removal method combined with water detection and optimal moment matching can effectively improve the effect of shadow detection and removal in urban high-resolution remote sensing images

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  • A method of urban shadow detection and removal based on high-resolution remote sensing images
  • A method of urban shadow detection and removal based on high-resolution remote sensing images
  • A method of urban shadow detection and removal based on high-resolution remote sensing images

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[0054] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0055] please see figure 1 A method for detecting and removing urban shadows based on high-resolution remote sensing images provided by the present invention, comprising the following steps:

[0056] Step 1: Perform bilateral filtering on the four-band data (R, G, B, NR) of the high-resolution image, and use the four-band data to calculate the four eigenvalues ​​of B', I, Q, and A, and use the Otsu threshold method [1] to obtain Perform preliminary shadow detection, and use the graph cut method [2] for region growth,

[0057] [1] Gao Xianjun, Wan Youchuan, ...

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Abstract

The invention discloses a method for detecting and removing urban shadows based on high-resolution remote sensing images. First, the feature values ​​obtained by calculating the threshold value of the bilaterally filtered image are used for shadow detection, and the graph cut method is used to perform regional growth on the results to obtain shadow masks. code; at the same time, the brightness images before and after bilateral filtering are subtracted to obtain the detail map, and then the area with weak texture is obtained. Combined with NDWI to complete the detection of urban water areas, remove the water part in the shadow mask, and perform shadow and non-shadow analysis respectively. Segment, calculate the image spectrum and texture information, and match to obtain the homogeneous non-shadow area corresponding to each shadow area; finally, use moment matching and histogram matching methods to remove the shadows of non-water areas and water areas respectively. Aiming at the complexity of the urban high-resolution image surface, the present invention greatly improves the effects of shadow detection and removal, and can be used to improve engineering application problems such as urban change detection and surface object recognition.

Description

technical field [0001] The invention belongs to the technical field of remote sensing and photogrammetry, and relates to a water area detection and urban shadow detection and removal method based on high-resolution remote sensing images, in particular to a shadow detection and removal method based on high-resolution remote sensing image optimization moment matching. Background technique [0002] Shadow detection and removal is a key issue in the analysis and application of high-resolution remote sensing images. With the rapid development of remote sensing technology, the spatial resolution of images has reached a relatively high level. In the analysis of urban remote sensing images, shadow extraction can assist the extraction of elevation information such as buildings. Shadow removal can enrich image information and improve object recognition and change. detection and image matching. [0003] High-resolution urban remote sensing images contain rich ground object information...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/13G06T7/136G06T7/194G06T7/41
CPCG06T7/11G06T7/13G06T7/136G06T7/194G06T7/41G06T2207/10032G06T2207/20028G06T2207/30181G06T5/70
Inventor 张永军岳照溪毛炜青郭功举潘琛
Owner WUHAN UNIV
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