Remote sensing intelligent interpretation method suitable for alpine and gorge regions

A technology of canyons and regions, applied in the field of remote sensing data interpretation, can solve the problems of low result accuracy and interpretation efficiency, time-consuming, etc., and achieve the effect of high-quality interpretation results, interpretation intelligence, and efficient interpretation.

Active Publication Date: 2022-04-01
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Visual interpretation of satellite data provides the best delineation of water bodies of varying sizes, but is time consuming, especially when dealing with high-resolution data
Simple and common unsupervised classification methods using interacti

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  • Remote sensing intelligent interpretation method suitable for alpine and gorge regions
  • Remote sensing intelligent interpretation method suitable for alpine and gorge regions
  • Remote sensing intelligent interpretation method suitable for alpine and gorge regions

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Embodiment Construction

[0016] The present invention will be further described below in conjunction with accompanying drawing.

[0017] The present invention provides a remote sensing intelligent interpretation method suitable for alpine and canyon areas, using at least 5 bands of data, namely blue band, green band, red band, near-infrared band and short-wave infrared band, based on linear prediction function classification , which combines the eigenvectors. Eigenvectors are properties that represent objects; the more eigenvectors there are, the easier the classification process will be. These feature vectors are combined with weights to build the prediction function. With a binary classifier, an input "x" is mapped to a value "y" using a hard limit function (such as figure 1 shown).

[0018] w is the weight vector, and w x is the dot product. To perform classification using a perceptron, the first step is to define a feature vector by finding the descriptors that characterize the body of water. ...

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Abstract

The invention provides a remote sensing intelligent interpretation method suitable for alpine and valley regions, which uses data of at least five wavebands and is classified based on a linear prediction function, the linear prediction function is combined with feature vectors, and the feature vectors are combined with weights to construct a prediction function; after the feature vector is found and the weight is initialized, calculating a weighted sum; the weighted sum is used as the input of an output function of a binary classifier, the input x is mapped to a value y by utilizing the output function of the binary classifier, a classification process is executed by using a hard limiting function, and a critical value is used when the classification process is executed; the critical value depends on the feature vector and the weight, selecting the maximum possible value of the weighted sum displayed by the object pixels, and comparing the weighted sum acquired by each pixel with the critical value, thereby completing classification.

Description

technical field [0001] The invention relates to the technical field of remote sensing data interpretation, in particular to an intelligent remote sensing interpretation method suitable for alpine and valley areas. Background technique [0002] Water resources are an indispensable and important resource in the earth's ecosystem, and an important factor affecting climate change and ecosystem evolution. Rapid and accurate identification of water areas is of great significance for water resource investigation, flood monitoring, and disaster prevention and mitigation. With the development of remote sensing technology, high-resolution remote sensing has become an important means of water body monitoring. Currently, methods for extracting water bodies from satellite imagery have been extensively explored. Several methods have been developed to delineate water bodies from different satellite imagery with different spatial, spectral and temporal characteristics. Mapping natural re...

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Application Information

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IPC IPC(8): G06V20/13G06V10/143G06T7/62
Inventor 卿凤张红李少达杨容浩
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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