Method for extracting features of multi-temporal complete-polarization SAR images and classification method of plant distribution regions

A feature extraction, full polarization technology, applied in the field of remote sensing applications, to achieve high vegetation identification accuracy and improve the effect of difference

Active Publication Date: 2018-12-07
AEROSPACE INFORMATION RES INST CAS
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[0005] This application provides a method for extracting features from multi-temporal full-polarization SAR images; a classification method for ve

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  • Method for extracting features of multi-temporal complete-polarization SAR images and classification method of plant distribution regions
  • Method for extracting features of multi-temporal complete-polarization SAR images and classification method of plant distribution regions
  • Method for extracting features of multi-temporal complete-polarization SAR images and classification method of plant distribution regions

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[0049] Hereinafter, specific embodiments of the present application will be described in detail with reference to the accompanying drawings, but it is not a limitation of the present application.

[0050] It should be understood that various modifications can be made to the embodiments disclosed herein. Therefore, the above description should not be regarded as a limitation, but merely as an example of an embodiment. Those skilled in the art will be able to make other modifications within the scope and spirit of this application.

[0051] The drawings included in the specification and constituting a part of the specification illustrate the embodiments of the application, and together with the general description of the application given above and the detailed description of the embodiments given below, are used to explain the application principle.

[0052] These and other characteristics of the present application will become apparent from the following description of preferred fo...

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Abstract

The invention provides a method for extracting features of multi-temporal complete-polarization SAR images and a classification method of plant distribution regions. The method for extracting featuresof multi-temporal complete-polarization SAR images comprises steps of acquiring multi-temporal complete-polarization SAR images in the same region including various kinds of plants; segmenting the multi-temporal complete-polarization SAR images so as to obtain multiple targets; establishing multi-order tensors for each target, wherein the first stage and the second stage in the multi-order tensors represent lines and rows of coherence matrixes or covariance matrixes of the target respectively and the third stage in the multi-order tensors represent different time phases; and by use of a multilinear principal component decomposition algorithm, carrying out dimension reduction on the multi-order tensors of each target so as to obtain feature vectors of each target. According to the invention, by extracting features of the multi-temporal complete-polarization SAR images, difference between plants is improved. A DT classification result represents that even if a training sample is quite small, by use of the provided method, quite high plant identification precision can be acquired.

Description

Technical field [0001] This application relates to the field of remote sensing applications, in particular to a method for extracting features from multi-temporal fully polarized SAR images, and a method for classifying vegetation distribution areas in multi-temporal fully polarized SAR images. Background technique [0002] Corn is one of the most important economic crops in the world and an important part of China's agriculture. It plays an important role in both agriculture and industry. Therefore, how to effectively monitor corn is a question worthy of careful consideration. [0003] We can obtain accurate images of the ground through remote sensing technology. The analysis results of remote sensing images can not only redistribute land and ensure land security, but also provide convenience for monitoring the growth of crops. [0004] But in fact, due to different farming conditions in various parts of our country, corn is easily confused with other vegetation around. By comparin...

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Application Information

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IPC IPC(8): G06K9/62G06T7/10
CPCG06T7/10G06T2207/30188G06T2207/10044G06F18/24
Inventor 张红许璐王超
Owner AEROSPACE INFORMATION RES INST CAS
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