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Remote sensing image fusion method oriented to water quality quantitative remote sensing application

A technology of remote sensing image and fusion method, which is applied in the field of satellite image processing and can solve problems such as narrow use range

Active Publication Date: 2014-03-26
SPACE STAR TECH CO LTD
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Problems solved by technology

[0009] How to address the application requirements of water conservancy remote sensing, overcome the shortcomings of a single fusion method with a relatively narrow range of use, establish a unified data fusion model, maintain accurate water body object pixel outlines, and maintain the maximum spectral characteristics of water areas are key problems to be solved
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  • Remote sensing image fusion method oriented to water quality quantitative remote sensing application
  • Remote sensing image fusion method oriented to water quality quantitative remote sensing application
  • Remote sensing image fusion method oriented to water quality quantitative remote sensing application

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Embodiment Construction

[0047] Attached below figure 1 , figure 2 , image 3 and Figure 4 Specific embodiments of the present invention are further described in detail:

[0048] Such as figure 1 Shown, the present invention is concretely realized as follows:

[0049] 1. Based on high-resolution panchromatic image I 1 Geographic Information for Hyperspectral / Multispectral Remote Sensing Imagery I 2 clipping and registration of the overlapping areas, perform cubic spline interpolation and resampling to the resolution of the high-resolution panchromatic image on the cropped and registered hyperspectral / multispectral remote sensing image, and the resampled hyperspectral / multispectral remote sensing image Has the same width and height as the high-resolution panchromatic image.

[0050] 2. Calculation of hyperspectral / multispectral image I 2 The band correlation matrix and eigenvectors of the bands are used to perform principal component analysis. At this time, the main spectral information of th...

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Abstract

Disclosed is a remote sensing image fusion method oriented to water quality quantitative remote sensing application. By maintaining water area extraction accuracy and water area spectral characteristics furthest and combining PCA fusion and SSVR fusion, a two-level fusion method aiming at water quality quantitative remote sensing application is designed, a decision-level object-oriented surface feature classification and interpretation method is introduced in the process of fusion, and processing results have the characteristic that accurate water body object pixel profile and water area spectral characteristics are maintained. A lot of experiment results show that by the remote sensing image fusion method, water area interpretation accuracy reaches 90%, and water area quantitative inversion results are similar to inversion results acquired by directly utilizing hyperspectral or multispectral images.

Description

technical field [0001] The invention relates to a remote sensing image fusion method for water quality quantitative remote sensing applications, belongs to the technical field of satellite image processing, and is used for the fusion of multi-spectral / hyperspectral remote sensing images and high-resolution panchromatic images in water conservancy remote sensing applications. Background technique [0002] Modern remote sensing technology provides massive remote sensing image data with multi-spatial, multi-spectral, and multi-temporal resolutions for earth observation, which are widely used in terrain surveying and map updating, land use, urban identification, agricultural and forest surveys, geology and flood disasters, and military field etc. [0003] The information provided by multi-source remote sensing images is redundant, complementary and cooperative. Redundancy means that they have the same representation, description or interpretation of the environment or targets; c...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/00
Inventor 姚尧邹同元吴俊王玮哲王文亮
Owner SPACE STAR TECH CO LTD
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