SAR image change detection method based on context salience detection and SAE

A technology of image change detection and context, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not digging deeply into change features, and achieve the effect of improving accuracy and effect.

Active Publication Date: 2019-01-18
DALIAN UNIV OF TECH +3
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Problems solved by technology

The above method mainly processes the difference map, but does not deeply explore the change characteristics of SAR images in different phases, and there is still room for improvement in the change detection effect

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  • SAR image change detection method based on context salience detection and SAE
  • SAR image change detection method based on context salience detection and SAE
  • SAR image change detection method based on context salience detection and SAE

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with specific examples and accompanying drawings.

[0039] according to figure 1 , the SAR image change detection method based on context saliency detection and SAE, comprising the following steps:

[0040] (1) Input two time-phase SAR images of the same area:

[0041] Input two temporal SAR images of the same area for image registration, and obtain two preprocessed temporal SAR images A and B;

[0042] (2) Calculate the logarithmic ratio difference map:

[0043] Calculate the logarithmic ratio difference map D of two time-phase SAR images A and B, the calculation formula is as follows:

[0044]

[0045] (3) Extract the salient region of the difference map based on the context saliency detection algorithm:

[0046](3a) Block the log ratio difference map D according to the window size of 7×7 and 50% overlap, and divide it into 4 scales;

[0047] (3b) Calculate the pixel block p according to th...

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Abstract

An SAR image change detection method based on context salience detection and SAR image change detection is disclosed. Two phase SAR images of the same region are input; logarithmic ratio difference chart is calculated; significance Region of Difference Map Based on Context significance detection algorithm is extracted; according to the salient area mask of the difference map, the background of thetwo temporal SAR images is masked, and the SAR image after the masking is obtained; based on fuzzy C-means clustering, the change region of SAR image after the mask is extracted, and the training samples of pseudo-label are obtained; multi-layer sparse automatic encoder is trained by using masked SAR images and pseudo-label training samples; the final SAR image change region is extracted by the trained network. The invention can effectively overcome the influence of the speckle noise on the SAR image change detection, meanwhile, a multi-layer sparse automatic encoder is designed, the effective change characteristics of the SAR image are extracted, the accuracy of the change detection can be improved, and the invention can be used in the technical fields of multi-temporal SAR image changedetection and the like.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, in particular to SAR image change detection, specifically a SAR image change detection method based on context saliency detection and SAE (Sparse Auto-Encoders, sparse autoencoder), which can be used for multi-temporal SAR Image change detection and other technical fields. Background technique [0002] Synthetic aperture radar (SAR) is an active microwave imaging system, which has the advantages of all-weather, all-time and high imaging resolution, and is an important way for humans to obtain geographic information. In severe and extreme weather conditions, compared with optical remote sensing images, SAR can obtain stable data, which has obvious advantages. SAR image change detection is the use of data in different time phases to mine the change information of ground objects, and it has been applied in the fields of urban coverage survey, land development and utilization...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/32
CPCG06T7/32G06T2207/10044G06T2207/20081
Inventor 王洪玉耿杰周晓君马晓瑞王兵吴尚阳赵雪松韩科谢蓓敏尹维崴李睿
Owner DALIAN UNIV OF TECH
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