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A method for detecting automatically a circular oil tank with a remote sensing image

A remote sensing image and automatic detection technology, which is applied in the directions of instruments, computing, character and pattern recognition, etc., can solve the problems of different contrasts, the size of interference targets, and the difficulty of establishing background models

Active Publication Date: 2014-12-17
WUHAN UNIV
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Problems solved by technology

[0006] It can be seen that various algorithms are still limited by many conditions, such as image background interference, target size, illumination changes, etc. For high-resolution remote sensing images, oil tank targets are small targets, some are regular, and some are messy The probability of missing alarms and false alarms in the detection process is relatively high
At the same time, under normal circumstances, visible light images will be affected by clouds, the background of the oil tanks is different, it is difficult to establish a background model, the color of the oil tanks is different, the difference between the target and the background in the image of each region is inconsistent, and the contrast with the background is not the same , especially for black polar oil tanks, which are similar to the background and difficult to distinguish

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  • A method for detecting automatically a circular oil tank with a remote sensing image
  • A method for detecting automatically a circular oil tank with a remote sensing image

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Embodiment Construction

[0025] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0026] The present invention is based on complex remote sensing image visual saliency map image segmentation and oil tank detection method is to use the similar circle feature of oil tanks to obtain sub-images of oil tank images, and then use color and texture multi-features to sub-images with SVM classifier (Support Vector machine classifier) ​​to obtain a prediction model, the support vector in the model represents the typical characteristics of the oil tank, and then according to the spatial characteristics of the oil tank circle, the concentric circles are...

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Abstract

The invention discloses a method for detecting automatically a circular oil tank with a remote sensing image. The method comprises: first, executing MHC visual saliency transformation on the remote sensing image to obtain a visual saliency map, executing mathematical morphology enhancement to obtain a enhanced visual saliency map, and executing circle detection on the enhanced visual saliency map by means of hough transformation to obtain a suspected oil tank region; then, executing turbopixels over-segmentation on the remote sensing image, combining segmented blocks according to features, and obtaining a suspected oil tank region according to an approximately-circular feature; last, in conjunction with a hough detection result and an approximately-circular feature detection result, executing SVM classification by means of a relationship between a circle center and a radius of the oil tank and multiple features, and filtering out concentric circles and a non-oil tank region to obtain finally an oil tank region. Through a large number of experiments, it is proved that the method for detecting automatically a circular oil tank with a remote sensing image can obtain the higher precision ratio and recall ratio on the optical image having a large region and high resolution, and not only have a significant detection effect on the bright oil tank, but also have a certain detection effect on the darker oil tank.

Description

technical field [0001] The invention belongs to the technical field of high-resolution optical remote sensing image target recognition, and in particular relates to an automatic detection method for circular oil tanks in remote sensing images based on the combination of over-segmentation plus multi-feature detection and Hough circle detection on saliency maps. Background technique [0002] Fuel depots have always been of great importance for military and civilian applications. In terms of civil use, in the extraction and analysis of damage information of airport remote sensing images, the accuracy of oil tank identification and detection directly affects the effect of damage information extraction and analysis; in the military, oil depots are used as storage facilities for crude oil and refined oil and other materials , plays an important role in the strategy, and an effective attack on the enemy's oil depot target can often destroy the enemy's strategic deployment, greatly ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
Inventor 眭海刚蔡肖芋
Owner WUHAN UNIV
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