Plant covering information extracting method based on perfect polarization SAR images

A technology of information extraction and vegetation coverage, applied in the field of image processing, can solve the problems of costing a lot of time and money, and low accuracy

Inactive Publication Date: 2015-06-10
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

In the past, the extraction of vegetation information was mainly based on the traditional method of surface measurement, which required a lot of manpower and material resources to collect and analyze the data, and also took a lot of time and money, and the accuracy of the

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  • Plant covering information extracting method based on perfect polarization SAR images
  • Plant covering information extracting method based on perfect polarization SAR images
  • Plant covering information extracting method based on perfect polarization SAR images

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Embodiment

[0058] figure 1 It is a flowchart of a method for extracting vegetation coverage information based on full-polarization SAR images.

[0059] In this example, if figure 1 As shown, a method for extracting vegetation coverage information based on fully polarized SAR images of the present invention comprises the following steps:

[0060] S1. Acquire full-polarization SAR images through spaceborne SAR;

[0061] In this embodiment, the C-band high-resolution full-polarization SAR image can be acquired by the Radarsat-2 satellite. In the full-polarization SAR image, four polarization images of HH, HV, VH, and VV are included, namely figure 2 In (a) to (d), the four images are four polarization images of the Dali Lake area in Chifeng, Inner Mongolia.

[0062] S2, image preprocessing

[0063] When performing radiometric calibration and geocoding on full-polarization SAR images, it is to perform radiometric calibration and geocoding on images of four polarizations respectively.

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Abstract

The invention discloses a plant covering information extracting method based on perfect polarization SAR images. The obtained perfect polarization SAR images are preprocessed, so that standard SAR images are obtained, then coherence matrix computing is carried out, the eigenvalue and eigenvector thereof are obtained, accordingly, Cloude-pottier decomposition is carried out, therefore, polarization entropy and scattering angles are obtained, and then through H/alpha classification and Wishart H/alpha classification in sequence, scattering features of plant covering and covering information are identified and extracted. Through an H/alpha classification algorithm and a Wishart H/alpha classification algorithm, the plant covering information can be identified and extracted accurately, and the recognition error rate is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to a method for extracting vegetation coverage information based on full-polarization SAR images. Background technique [0002] Vegetation is an important part of the ecosystem, which has the functions of improving local climate, preventing soil erosion, regulating river flow, and reducing environmental pollution. Nowadays, deforestation, overgrazing and environmental pollution have caused predatory damage to vegetation resources, resulting in the destruction of biological diversity, serious soil erosion and aggravation of soil desertification. Therefore, extracting vegetation information and keeping an eye on changes in vegetation is of great significance for protecting biodiversity, reducing environmental pollution, maintaining social stability and promoting economic development in my country and the world. In the past, the extraction of vegetation inform...

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Application Information

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IPC IPC(8): G06K9/46
Inventor 陈彦李昕童玲
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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