Method for processing remote sensing images based on tasseled cap transformation

A tasseled cap transformation and remote sensing image technology, which is applied in the field of remote sensing image processing based on tasseled cap transformation, can solve problems such as dependencies and different conversion coefficients, achieve good application prospects, and improve the accuracy of mapping and classification.

Inactive Publication Date: 2012-01-04
ZHEJIANG UNIV
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But it is sensor dependent, so its conversion factor is different for each sensor

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  • Method for processing remote sensing images based on tasseled cap transformation
  • Method for processing remote sensing images based on tasseled cap transformation
  • Method for processing remote sensing images based on tasseled cap transformation

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Embodiment Construction

[0053] Below in conjunction with accompanying drawing, the present invention will be further described.

[0054] A remote sensing image processing method based on tasseled cap transformation, said processing method comprising the following steps:

[0055] (1) Select at least 10 representative remote sensing images, perform radiometric calibration and atmospheric correction, and obtain the actual surface reflectance;

[0056] (2) Calculate the principal component transformation coefficients of each remote sensing image separately, and fit the principal component transformation coefficients by the least square method to obtain a new coefficient, namely the initial axis;

[0057] (3) Rotate the initial axis to set the angle to obtain the tasseled cap transformation coefficient axis. The method of rotation: based on the TM tasseled cap transformation feature, select a set number of sample points from each image, and visually interpret the initial The axis is rotated, and the dist...

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Abstract

The invention discloses a method for processing remote sensing images based on tasseled cap transformation. The method comprises the following steps of: (1) selecting at least 10 representative remote sensing images, and performing radiometric calibration and atmospheric correction to acquire the actual earth surface reflectivity; (2) calculating a principle component transformation coefficient of each remote sensing image respectively, and fitting the principle component transformation coefficient through a least square method to obtain a new coefficient, namely a primitive axis; (3) setting an angle for the primitive axis by rotating to obtain a tasseled cap transformation coefficient axis, wherein a rotation method comprises selecting set number sampling points respectively from each image on the basis of TM tasseled cap transformation characteristics and rotating the primitive axis through visual interpretation, and the distribution of the rotated sampling points is the same as the TM tasseled cap transformation characteristics; and (4) according to the tasseled cap transformation coefficients obtained in the step (3), performing linear transformation on multi-spectrum remote sensing images to obtain an imaging result. The invention provides the method for processing the remote sensing images based on the tasseled cap transformation, and the method provided by the invention is used for extracting image physical characteristics.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image processing method based on tasseled cap transformation. Background technique [0002] Tasseled cap transform (also known as KT transform) is a linear transformation of multispectral bands of remote sensing images, which reduces data redundancy caused by band correlation and provides information with physical characteristics (such as plant growth, land change, etc.). Numerous scientific studies have shown that tasseled cap transformation can be used to improve mapping and classification accuracy, estimate forest age, forest disturbance, forest fire prediction and assessment, changes in irrigation plants, etc. Tasseled cap transformation is essentially a special principal component analysis. Unlike principal component analysis, its conversion coefficient is fixed, so it is independent of a single image, and the physical characteristics...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/20G06T3/00
Inventor 盛莉黄敬峰
Owner ZHEJIANG UNIV
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