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Rapid detection method for high-resolution remote-sensing image airport area-of-interest

A technology for regions of interest and remote sensing images, which is applied in the field of rapid detection of regions of interest in high-resolution remote sensing images, can solve problems such as false detection, and achieve the effects of small calculation, improved speed and accuracy, and strong practicability

Inactive Publication Date: 2013-12-25
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Chinese Patent Application No. 201210280777.9, which records a "A Method for Fast Detection of Airport ROI in Spaceborne Infrared Remote Sensing Images", the core idea is to use the characteristics of the obvious brightness of the airport in the infrared image, and use the threshold value of the gray feature of the image to segment the area of ​​interest in the airport , this method is suitable for infrared remote sensing images with relatively simple backgrounds, but for high-resolution remote sensing images with complex backgrounds, it is easy to cause a large number of false detections

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Embodiment Construction

[0024] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0025] The hardware environment used for implementation is: Intel Core 2 Duo 2.93G computer, 2.0GB memory, 512M graphics card, and the running software environment is: Matlab R2012a, Windows XP. We have realized the method that the present invention proposes with Matlab software. The high-resolution remote sensing images are captured from Google Earth, and the size is 1141*940.

[0026] The present invention is specifically implemented as follows:

[0027] Step 1: Right figure 2 In the high-resolution remote sensing image, the LSD algorithm is used to detect the line to obtain the binary image of the line detection result Line b which is image 3 , using the FT algorithm for saliency detection to obtain a high-resolution remote sensing image saliency map S that is Figure 4 ;

[0028] Step 2: Randomly select n rectangular windows in the high-resolution rem...

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Abstract

The invention relates to a rapid detection method for a high-resolution remote-sensing image airport area-of-interest. Firstly, an LSD algorithm and an FT algorithm are adopted to calculate a linear detection binary result map and a saliency map of a high-resolution remote-sensing image respectively, then a huge number of rectangular windows are elected randomly in the high-resolution remote-sensing image, and then object metrical scores of the rectangular windows are calculated, and then a small number of rectangular windows are selected to form the airport area-of-interest through adoption of a non-maximum suppression algorithm according to the object metrical scores of the rectangular windows. The rapid detection method for the high-resolution remote-sensing image airport area-of-interest makes use of complementarity of two simple features and is capable of detecting the area-of-interest stably with a small calculation quantity so that high-resolution remote-sensing airport detection speed and precision are greatly improved. Therefore, the method is high in practicality.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a method for quickly detecting an airport region of interest in a high-resolution remote sensing image Background technique [0002] As a strategic target for military and civilian use, airports can be quickly and accurately detected from high-resolution remote sensing images, which has important practical value in the fields of aircraft integrated navigation, military reconnaissance, and precision strikes. focus on. However, the background of high-resolution remote sensing images is complex, and there are a large number of confusing debris such as roads, rivers, and artificial buildings, which increase the difficulty of airport detection. When detecting the airport, in order to increase the detection speed and reduce the influence of background debris, the airport area of ​​interest is usually detected first. Chinese Patent Application No. 2...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 韩军伟姚西文郭雷程塨周培诚张鼎文
Owner NORTHWESTERN POLYTECHNICAL UNIV
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