Remote sensing image region of interest detection method based on integer wavelets and visual features

A remote sensing image and visual feature technology, which is applied in the field of remote sensing image target recognition, can solve problems such as low contrast of salient images and difficult threshold segmentation, achieve reliable feature extraction results, reduce calculations, and improve detection accuracy

Inactive Publication Date: 2013-08-14
BEIJING NORMAL UNIVERSITY
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The WT method has similar problems, and the contrast of the sa

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  • Remote sensing image region of interest detection method based on integer wavelets and visual features
  • Remote sensing image region of interest detection method based on integer wavelets and visual features
  • Remote sensing image region of interest detection method based on integer wavelets and visual features

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[0044] Below in conjunction with accompanying drawing, the present invention is further described, figure 1 The flow chart of the method of the present invention is shown, and the implementation details of each step are now introduced.

[0045] Step 1: input image preprocessing;

[0046] Remote sensing images are very different from ordinary natural scene images. The current remote sensing image data are mainly divided into panchromatic remote sensing images and multispectral remote sensing images. The former contains information of all bands and is visually a grayscale image. Since the visual attention method needs to be used in the subsequent processing, and color information is a very important visual feature, panchromatic remote sensing images are not the best input data, so the remote sensing images processed by this method are mainly multi-spectral images . Generally speaking, multispectral remote sensing images contain information of more than three bands, and existi...

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Abstract

The invention discloses a remote sensing image region of interest detection method based on integer wavelets and visual features, which belongs to the technical field of remote sensing image target identification. The implementing process of the method comprises the following steps: 1, performing color synthesis and filtering and noise reduction preprocessing on a remote sensing image; 2, converting the preprocessed RGB spatial remote sensing image into a CIE Lab color space to obtain a brightness and color feature map, and converting an L component by using integer wavelets to obtain a direction feature map; 3, constructing a Gaussian difference filter for simulating the retina receptive field of a human eye, performing cross-scale combination in combination with a Gaussian pyramid to obtain a brightness and color feature saliency map, and performing wavelet coefficient sieving and cross-scale combination to obtain a direction feature saliency map; 4, synthesizing a main saliency map by using a feature competitive strategy; and 5, partitioning the threshold values of the main saliency map to obtain a region of interest. Due to the adoption of the remote sensing image region of interest detection method, the detection accuracy of a remote sensing image region of interest is increased, and the computation complexity is lowered; and the remote sensing image region of interest detection method can be applied to the fields of environmental monitoring, urban planning, forestry investigation and the like.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image target recognition, and relates to a method for detecting a region of interest in a remote sensing image based on integer wavelets and visual features. Background technique [0002] High-spatial-resolution remote sensing images contain a huge amount of data, clear ground object details and rich texture information, which largely alleviates the problem of low-resolution remote sensing image mixed pixel decomposition. Therefore, high-spatial-resolution remote sensing Images have been more and more widely used in military and civilian fields. However, the traditional remote sensing image analysis methods can no longer meet the requirements of rapid processing in the face of the rapid increase in the amount of remote sensing data. Therefore, it is of great significance to develop information processing technology for high spatial resolution remote sensing images. [0003] Object detectio...

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Application Information

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IPC IPC(8): G06T7/40
Inventor 张立保李浩杨凯娜丘兵昌
Owner BEIJING NORMAL UNIVERSITY
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