Forest type identification method based on texture information

A technology of texture information and type recognition, which is applied in the field of remote sensing, can solve the problems of difficulty in improving the recognition accuracy of forest type remote sensing and the difficulty of forest type recognition, and achieve the effect of improving the accuracy of forest type remote sensing recognition

Inactive Publication Date: 2013-04-03
NORTHEAST FORESTRY UNIVERSITY
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Problems solved by technology

[0006] In order to solve the problem that it is difficult to improve the accuracy of forest type remote sensing recognition in the prior art, especially the problem that it is more difficult to improve the accuracy of forest type recognition in larger areas, the present invention proposes a forest type remote sensing recognition method based on texture information, using TM remote sensing images as the basis Data sources, use geostatistical methods to extract texture information of images, and use maximum likelihood classification methods to improve the accuracy of forest type remote sensing recognition, especially in larger areas

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  • Forest type identification method based on texture information
  • Forest type identification method based on texture information

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Embodiment Construction

[0036] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] The forest type identification method based on texture information of the present embodiment comprises the following steps:

[0038] S1, according to the phenological information, determine the TM remote sensing data at a suitable time as the data source, and preprocess the selected TM data.

[0039] The appropriate time is June, July, August, September or July, August, September each year;

[0040] The preprocessing includes: ① normalization of remote sensing image radiation, ② splicing and cropping of remote sensing images, and ③ principal component analysis. These three tasks are completed using ENVI 4.7 software.

[0041] Among them, the normalization of remote sensing image radiation, the calculation formula is:

[0042] g d =(g r -μ r ) / σ r ×σ f +μ f

[0043] In the formula, g d is the corrected pixel gray va...

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Abstract

The invention discloses a forest type identification method based on texture information, belongs to the technical field of remote sensing, and particularly relates to a remote sensing method for classifying forest type on the basis of TM (thematic map) data of the texture information. The method includes the following six steps of S1, confirming TM remote sensing data of an appropriate time as a data source according to bio-meteorology information, preprocessing the TM data; S2, extracting a forest land portion of a researched area; S3, confirming size of a window or a step when the texture information is extracted; S4, extracting video texture information by means of the principle of geostatistics; S5, classifying TM video by means of the maximum likelihood method; and S6, verifying classified result of the maximum likelihood method by means of geoclimatic verifying data. By the aid of the forest type identification method based on the texture information, precision of remote sensing for the forest type, especially the precision for identifying large-area forest type, is improved.

Description

technical field [0001] A forest type identification method based on texture information belongs to the technical field of remote sensing, in particular to a method for TM data remote sensing classification of forest types supplemented with texture information. Background technique [0002] During the decades of development of remote sensing technology, a multi-level, multi-platform, multi-angle, multi-band, and multi-polar Earth observation system has been formed. Various advanced earth observation satellites are continuously launched, providing abundant data sources to the ground. The ability to acquire remote sensing data is far ahead of the ability to process and extract information from remote sensing data. Therefore, it is particularly important to study the methods of remote sensing data processing and information extraction. [0003] To sum up, remote sensing can extract the type information of ground features and the parameter information of ground features. For t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 范文义王鹤霖李明泽毛学刚赵妍
Owner NORTHEAST FORESTRY UNIVERSITY
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