Multi-frequency synthetic aperture radar (SAR) data crop sensing classification method
A classification method and technology for crops, which are applied in the reflection/re-radiation of radio waves, measuring devices, instruments, etc., can solve the problems of difficulty in improving the classification accuracy of crops by remote sensing, and achieve the effect of high classification accuracy.
Inactive Publication Date: 2012-11-28
REMOTE SENSING APPLIED INST CHINESE ACAD OF SCI
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[0007] Aiming at the shortcomings of the prior art, the present invention provides a crop remote sensing classification method based on multi-frequency SAR data in order to solve the problem that the accuracy of crop remote sensing classification in the prior art is difficult to improve, using multi-frequency SAR image data as the data source, using support vector Machine (SVM) classification method, by adding texture feature information, to achieve accurate classification of crops
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[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0036] The present invention relates to a method for remote sensing classification of crops with multi-frequency SAR data. The present invention will be further described below in conjunction with the accompanying drawings. refer to figure 1 , the method of the present invention specifically comprises the following steps:
[0037] In step S1, according to the crop phenology period and combined with the ground observation data, determine the ENVISAT A...
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The invention relates to the technical field of crop sensing image classification, and provides a multi-frequency synthetic aperture radar (SAR) data crop sensing classification method. In the method, multi-scene C band ENVISAT ASAR images and X band TerraSAR-X images are used as data sources, and accurate classification of crops is realized by using a support vector machine (SVM) classification method and adding textural feature information. The method provides technical support for accurate classification of the crops, and simultaneously provides important data support and foundation for crop planting area sensing estimation and yield estimation.
Description
technical field [0001] The invention relates to the technical field of crop remote sensing image classification, in particular to a crop remote sensing classification method based on multi-frequency SAR data. Background technique [0002] Crop remote sensing monitoring is an important part of the application of remote sensing technology in the field of agriculture. Remote sensing technology, as the cutting-edge technology of earth information science, can continuously acquire large-scale ground information in a short period of time, realize rapid collection and quantitative analysis of agricultural information, and has rapid response and strong objectivity. It is currently the most effective earth observation technology and information means of acquisition. Especially in recent years, the development of new high spatial resolution, hyperspectral, radar and other remote sensing technologies has provided new opportunities for agricultural modernization management. my country...
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IPC IPC(8): G06K9/62G01S13/90
Inventor 吴炳方李强子贾坤张淼
Owner REMOTE SENSING APPLIED INST CHINESE ACAD OF SCI