Method for detecting remote sensing image change based on edge and grayscale

A remote sensing image and change detection technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem of low precision and achieve the effect of improving detection accuracy

Inactive Publication Date: 2011-02-09
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the deficiency of low accuracy of the existing remote sensing image change detection method, the present invention provides a remote sensing image change detection method based on edge and grayscale, whic

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  • Method for detecting remote sensing image change based on edge and grayscale
  • Method for detecting remote sensing image change based on edge and grayscale
  • Method for detecting remote sensing image change based on edge and grayscale

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[0030] 1. Extraction of edge features.

[0031] The edge detection algorithm in the present invention adopts the improved Canny algorithm. Canny operator can achieve a good balance between noise suppression and edge detection. The traditional Canny operator uses Gauss filtering to weaken the edge characteristics to a certain extent. In the present invention, a bilateral filter (Bilateral filter) is adopted instead of Gauss filter, which can better obtain image edge characteristics. The bilateral filtering method is as follows:

[0032] Let the denoising operator be D h , the filter model can be written in the following general form:

[0033] D h ( x ) = ∫ Ω w ( x , y ) X ti ( y ) dy ( ...

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Abstract

The invention discloses a method for detecting remote sensing image change based on an edge and grayscale, which is used for solving the technical problem of low precision of the conventional remote sensing image change detection method. The technical scheme comprises the following steps of: performing multitemporal image edge characteristic extraction by using a bilateral filtering-based Canny algorithm; performing OTSU threshold segmentation and edge extraction on grayscale interpolation images to obtain grayscale characteristics; and integrating the extracted edge and grayscale characteristics, and detecting change areas of remote sensing images. The linear characteristic of images is fully utilized, and the grayscale interpolation images compensate broken lines caused by registration errors, so the precision of the remote sensing image change detection method is improved to 90.32 percent from 87.75 percent of the prior art, and the detection accuracy is improved.

Description

technical field [0001] The invention relates to a remote sensing image change detection method, in particular to a remote sensing image change detection method based on edge and grayscale. Background technique [0002] The document "A New Multi-band Remote Sensing Image Change Detection Method, Chinese Journal of Image and Graphics, 2009, Vol.14(4), p572-578" discloses a remote sensing image based on fuzzy C-means clustering (FCM) algorithm Change detection method. The method firstly uses an improved fuzzy C-means (FCM) algorithm with reduced time complexity for unsupervised classification of remote sensing images, and then introduces a multi-band comprehensive change mask method for change detection. Performing unsupervised classification processing of remote sensing images is to determine whether each pixel changes, which belongs to pixel-level rather than feature-level change detection, while artificial targets include roads, bridges, airports, railways, housing building...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 张艳宁袁琪仝小敏朱宇林增刚郗润平
Owner NORTHWESTERN POLYTECHNICAL UNIV
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