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A Method for Obtaining Large-Path Radiation of Remote Sensing Images Based on Pixel Decomposition

A large-pass radiation and pixel decomposition technology, which is applied in the field of remote sensing image large-pass radiation acquisition, can solve the problems of limited promotion and achieve the effect of easy promotion and application, significant effect and better effect

Inactive Publication Date: 2016-09-21
ZHEJIANG FORESTRY UNIVERSITY
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Problems solved by technology

However, this method is based on the land use classification map of the study area and the actual measurement of the ground object spectrum at the same time and at the same location. Each calculation requires ground object spectrum measurement and the acquisition of land use status maps in the research area, which limits later promotion

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  • A Method for Obtaining Large-Path Radiation of Remote Sensing Images Based on Pixel Decomposition
  • A Method for Obtaining Large-Path Radiation of Remote Sensing Images Based on Pixel Decomposition
  • A Method for Obtaining Large-Path Radiation of Remote Sensing Images Based on Pixel Decomposition

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the examples, but not as a basis for limiting the present invention.

[0043] Example. The atmospheric-pass radiation is the combined result of Rayleigh scattering and aerosol Mie scattering, and the total atmospheric-pass radiation reaching the sensor can be regarded as the integral of the atmospheric upward radiation on the surface-sensor path (such as figure 1 shown), the theoretical calculation formula (7) of the range radiation. When the electromagnetic wave enters the atmosphere, the atmosphere has an attenuation effect (absorption and scattering) on ​​the electromagnetic wave. After being reflected by the ground, it is again attenuated by the atmosphere and finally reaches the sensor. The energy value received by the sensor - DN (single band) is expressed as:

[0044] DN ij =K×Eij ×r ij ×τ 1ij ×τ 2ij / π+K×Na ij =K×E ij ×r ij ×τ ij / π+DNA ij (7)

[0045] In formula (7), K is the...

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Abstract

The invention discloses a pixel decomposition-based remote sensing image atmosphere path radiance acquiring method. The method is characterized in that the atmosphere path radiance of a satellite remote sensing image is acquired in a pointwise manner in the pixel scale through a spectrum end-member summary technology on the basis of a pixel decomposition technology. The remote sensing image atmosphere path radiance can be obtained in a pointwise manner only through depending on the remote sensing image without atmosphere parameters and other auxiliary data, and the finally obtained result can well reflect the space difference of atmosphere dust haze concentration of a city center scale, so the method can be used to realize remote sensing monitoring of the difference of aerosol polluted regions in the city.

Description

technical field [0001] The invention relates to a large-pass radiation acquisition method of remote sensing images based on pixel decomposition, which can be applied to urban and rural construction, agriculture, forestry, meteorology, ecological environment and other industrial sectors at the scale of urban areas or towns, and belongs to the technical field of remote sensing imaging. Background technique [0002] During the transmission of electromagnetic waves in the atmosphere, due to the existence of gas molecules, aerosols and other substances in the atmosphere, they are prone to attenuation such as scattering and penetration, which reduces the intensity of electromagnetic radiation signals received by the sensor (such as figure 1 shown). In particular, the image quality is affected by the blurring of the boundaries of ground objects and the reduction of contrast due to scattering. The part that enters the sensor is called atmospheric radiation, which is a very large "no...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C11/04
CPCG01C11/04
Inventor 徐丽华邱布布
Owner ZHEJIANG FORESTRY UNIVERSITY
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