Target Recognition of Thermal Power Station in Remote Sensing Image

A technology for target recognition and remote sensing imagery, applied in character and pattern recognition, instrumentation, computing, etc., can solve the problems of time-consuming training, high time complexity, window redundancy, etc.

Inactive Publication Date: 2019-02-15
STATE GRID ECONOMIC TECH RES INST CO +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] There are two main problems in traditional target detection: one is that the region selection strategy based on the sliding window is not targeted, the time complexity is high, and the window is redundant; the other is that the manually designed fea...

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  • Target Recognition of Thermal Power Station in Remote Sensing Image
  • Target Recognition of Thermal Power Station in Remote Sensing Image
  • Target Recognition of Thermal Power Station in Remote Sensing Image

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Embodiment Construction

[0055] The characteristics and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only configured to explain the present invention, not to limit the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by showing examples of the present invention.

[0056] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and ...

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Abstract

The invention provides a method for identifying a thermal power station target in a remote sensing image, which comprises the following steps: according to the size of the target, setting an anchor size and predicting a candidate area of a related class; Calculating all the area frames to be generated according to the set area ratio and the scale ratio according to the set anchor in step one, anddividing positive and negative samples according to the overlap ratio of the area frames and the label frames and training; Construction of Depth Convolution Neural Network Feature Extractor; Constructing feature extractor based on target feature; The extracted features are combined as final description features of the generation box; According to the results of the final description of the characteristics of the target candidate frame positioning precision processing, get the remote sensing image power infrastructure target recognition results. The invention not only greatly reduces the cost,but also is convenient to operate and greatly improves the working efficiency by using the mode of combining the multi-source optical images and the radar images. For the influence of vegetation, thevegetation index is used to screen the non-vegetation-covered areas for thematic information extraction.

Description

technical field [0001] The invention relates to the technical field of automatic target recognition, in particular to an automatic recognition method for thermal power stations in remote sensing images. Background technique [0002] The construction of a smart grid is a requirement of the Global Energy Internet. Thermal power is a source of electric energy. Therefore, the construction of a smart grid first requires the acquisition of spatial information of existing thermal power stations and related thematic targets around the world. With the development of hyperspectral, high spatial, and high temporal resolution remote sensing technology, the accuracy and precision of remote sensing geographic information acquisition has been greatly improved, and spatial data errors have been effectively reduced, making it possible to obtain high-precision thermal power station spatial information. . Therefore, it is of great significance to realize the automatic identification of therma...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06V20/176G06V10/25G06V2201/07G06F18/24G06F18/253G06F18/214
Inventor 韩文军刘海波张济勇孙小虎刘首文李晓军张苏张亚平于高陈颖蒲洁赵雨戴艳姚春静
Owner STATE GRID ECONOMIC TECH RES INST CO
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