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Remote sensing image change detection method based on texton

A remote sensing image and change detection technology, which is applied in the field of remote sensing image processing, can solve problems such as texture elements not given, and achieve the effect of avoiding false detection

Inactive Publication Date: 2014-11-12
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

But how to calculate the texture element has not been given a method that can be calculated

Method used

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  • Remote sensing image change detection method based on texton
  • Remote sensing image change detection method based on texton
  • Remote sensing image change detection method based on texton

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Embodiment Construction

[0027] The implementation of object-oriented change detection of remote sensing images based on texels by using the present invention is as follows: figure 1 Shown, it is described in conjunction with accompanying drawing now.

[0028] The implementation process of the object-oriented change detection of the high spatial resolution remote sensing image based on the texel according to the present invention is as follows: figure 1 shown. The working process is:

[0029] The processing unit 100 is an image segmentation process. This process uses image segmentation algorithms, such as watershed segmentation, mean shift algorithm, etc., to segment remote sensing images with high spatial resolution according to regional similarity. The segmented result is used as the basic unit for subsequent processing. Subsequent change detection uses the segmentation result as the smallest processing unit for change detection.

[0030] The processing unit 101 superimposes the result obtained...

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Abstract

The invention provides a remote sensing image change detection method based on a texton. The method includes the following steps of selecting images, which are well registered in the same area, of two time phases, and carrying out segmentation on the images of the previous time phase to obtain a segmentation result; counting texture features of segmented image blocks in a first image, wherein a texton histogram method is used as a computing method of the texture features; counting texture features of all segmented image blocks in the images of the latter time phase with the segmentation result of the images of the previous time phase as a restriction boundary, wherein a computing method of the texture features is also applied to the texton histogram method; carrying out similarity comparison on the texture features of corresponding image blocks in the two time phases, wherein changes occur if the distance is larger than a certain threshold value, and otherwise no change occurs; marking changed areas on original segmentation results to obtain change detection images based on texture feature extraction.

Description

technical field [0001] The invention relates to remote sensing image processing technology, in particular to an object-oriented change detection method for high spatial resolution remote sensing images based on texture elements. Background technique [0002] Remote sensing image change detection refers to using a certain method to process two remote sensing images of the same area in different phases, in order to obtain the detection of the area where the type of ground object changes. Remote sensing image change detection technology has an important application in the dynamic monitoring of land resources. This technology can quickly find the areas where the status of land use changes. [0003] From a broad perspective, change detection in remote sensing images includes two types of methods, supervised change detection methods and unsupervised change detection methods. The supervised change detection method refers to the situation that relies on the user to interact and can...

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Application Information

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IPC IPC(8): G06T7/00G06T7/40
Inventor 霍连志唐娉赵理君郑柯冯峥唐亮
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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