Remote sensing image region-of-interest detection method based on multi-significant-feature fusion

A region of interest and remote sensing image technology, which is applied in the field of remote sensing image region of interest detection based on multi-salient feature fusion, can solve problems such as complex prior knowledge base, and achieve the effect of improving detection accuracy.

Active Publication Date: 2015-10-07
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

However, the establishment of a priori knowledge base itself is a very complicated problem, which needs to comprehensive

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  • Remote sensing image region-of-interest detection method based on multi-significant-feature fusion
  • Remote sensing image region-of-interest detection method based on multi-significant-feature fusion
  • Remote sensing image region-of-interest detection method based on multi-significant-feature fusion

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Embodiment Construction

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings. The general framework of the present invention is as figure 1 As shown, the implementation details of each step are introduced now.

[0026] Step 1: Calculate the color histogram;

[0027] Input a set of remote sensing images of size M×N like figure 2 As shown, get each image I respectively p For each color channel, use f c (x, y) represents the image I pThe color intensity of the position (x, y) in the color channel c, construct the intensity histogram H of the remote sensing image in different color channels c (i), where M represents the length of the image, N represents the width of the image, and the total number of remote sensing images in this group is Q, using Indicates the number of remote sensing image groups Q, I p Represents the pth piece of a group of remote sensing images, p=1, 2...Q, x, y represent the horizontal and vertical coordinate...

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Abstract

The present invention discloses a remote sensing image region-of-interest detection method based on multi-significant-feature fusion, belonging to the technical fields of remote sensing image processing and image identification. The remote sensing image region-of-interest detection method comprises the following steps: 1) obtaining color channels of one group of input remote sensing images and calculating a color histogram of each color channel; 2) calculating a standard significant weight of each color channel according to the color histograms; 3) calculating an information content significant feature image; 4) converting one group of input remote sensing images from an RGB color space to a CIE Lab color space; 5) utilizing a clustering algorithm to obtain clusters; 6) calculating a significant value of each cluster, and obtaining a common significant feature image; 7) fusing the information content significant feature image with the common significant feature image to obtain a final significant image; and 8) performing threshold segmentation through an OTSU method to extract a region of interest. Compared with a traditional method, the remote sensing image region-of-interest detection method of the present invention achieves accurate detection for a remote sensing image region-of-interest on the premise of not having a prior knowledge base, thus the remote sensing image region-of-interest detection method can be widely applied to fields such as environment monitoring, land utilization and agricultural investigation.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing and image recognition, and in particular relates to a method for detecting a region of interest in a remote sensing image based on fusion of multiple salient features. Background technique [0002] With the rapid development of remote sensing technology, the data scale of remote sensing images is rapidly expanding, and the extraction of regions of interest in remote sensing images can reduce the complexity of remote sensing image analysis and processing, so the extraction of regions of interest in remote sensing images is also a hot spot of attention recently. How to accurately and quickly realize the detection of regions of interest in remote sensing images has become one of the problems to be solved urgently. An effective solution to this problem will be of great significance for alleviating the contradiction between high-speed acquisition and low-speed interpretation of ...

Claims

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Application Information

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IPC IPC(8): G06K9/32
CPCG06V10/25
Inventor 张立保吕欣然王士一
Owner BEIJING NORMAL UNIVERSITY
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