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Water area detection method and device based on space-based platform visual surveillance

A detection method and water area technology, applied in the field of image processing, can solve problems such as the difficulty of monitoring water area, and achieve the effects of convenient local debugging, strong robustness, and accurate segmentation

Active Publication Date: 2020-04-10
BEIHANG UNIV
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  • Application Information

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Problems solved by technology

[0005] The present invention introduces hyperspectral pictures to monitor changes in water area, specifically a water area detection method and device based on space-based platform visual monitoring, to solve the existing difficult problem of water area monitoring

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  • Water area detection method and device based on space-based platform visual surveillance
  • Water area detection method and device based on space-based platform visual surveillance

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Embodiment Construction

[0042] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0043] The water area detection method and device based on space-based platform visual monitoring provided by the present invention first adopts a method based on CNN (Convolution neural network) and atrous convolution to extract edge information in the spatial information of the picture. Secondly, according to the division of edge information, all the pixels of the original image are grouped. In order to obtain a stable classification result, the expectation of the spectral information of each group of pixels is calculated as the final sample vector for classification. Use the linear SVM classifier again to train the model, predict water areas and non-water areas, and output classification results. Finally, the real area of ​​the water area is calculated according to the legend parameter gamma obtained from the camera parameters and the space-based ...

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Abstract

The invention discloses a water area detection method and device based on the visual monitoring of a space-based platform, and relates to the technical field of image processing. The setup includes an image collector, a CNN feature extractor, a brancher for a multi-hole convolutional network, a feature fusion unit, a classifier and an area converter. First, the convolutional neural network extracts the high-level semantic information in the picture of the water area to be monitored, obtains the output feature map, and inputs it into the porous convolutional network. Then according to its edge information, average the hyperspectral information of all pixels in each area to obtain the expected features of the area; use the linear SVM classifier to train the model, classify the sample vectors of the expected features, and finally output the classification results to get The water area S. According to the legend parameter gamma and the water area S of the original image, calculate the real area of ​​the water area. The invention has strong robustness, can monitor the change of the real area of ​​the water area, and predict natural disasters.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a water area detection method and device based on the visual monitoring of a space-based platform. Background technique [0002] The monitoring of water area refers to the monitoring and extraction of water areas based on aerial images combined with specific geographic information data. The monitoring of water area can measure the size of waterfalls, lakes, rivers, reservoirs and other water areas in real time, so as to monitor and predict natural disasters such as heavy rain, mudslides and drought, and help people take protective measures in time to avoid harm, which has very important practical significance. [0003] Using traditional methods to monitor water areas often consumes huge manpower and material resources. However, the monitoring method based on the space-based platform visual surveillance system has the characteristics of mobility, large amount of data and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06T7/11G06T7/62
CPCG06T7/11G06T7/62G06N3/045G06F18/2411G06F18/253
Inventor 曹先彬甄先通李岩沈佳怡
Owner BEIHANG UNIV