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Method for detecting two-time-phase remote sensing image change

A remote sensing image and change detection technology, applied in the field of radar technology remote sensing image processing, can solve the problem of low detection accuracy, and achieve the effects of improving detection accuracy, overcoming effective utilization, and improving change detection accuracy

Active Publication Date: 2013-12-04
济钢防务技术有限公司
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  • Claims
  • Application Information

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Problems solved by technology

However, the Markov random field is sensitive to the initial value, and it is easy to lead to a local optimal solution in the final detection output area, resulting in low overall detection accuracy.

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  • Method for detecting two-time-phase remote sensing image change
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  • Method for detecting two-time-phase remote sensing image change

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Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0018] It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. And in the drawings, the embodiments are marked for simplification or convenience. Furthermore, implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptable error margins or design constraints.

[0019] In the two-temporal remote sensing image chang...

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Abstract

The invention discloses a method for detecting two-time-phase remote sensing image change. In the method for detecting two-time-phase remote sensing image change, a gaussian process classifier is combined with a Markov random field model, effective utilization of image space information is reinforced, and change detecting precision is improved.

Description

technical field [0001] The invention relates to the field of radar technology remote sensing image processing, in particular to a method for detecting changes in two-temporal remote sensing images. Background technique [0002] Change detection of remote sensing images is one of the most important application directions in the field of remote sensing image processing. It has important application value in many military and civilian fields such as natural disaster monitoring, land resource planning management, and military target strike assessment. As the resolution of remote sensing image data increases, the change information that can be obtained by change detection becomes more and more abundant, which further expands the practical application range of change detection. In the prior art, methods for detecting changes in remote sensing images mainly include Gaussian process methods and Markov random field model methods. The two methods are described below: [0003] Gaussi...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 陈克明周志鑫郭建恩付琨张道兵孙显
Owner 济钢防务技术有限公司
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