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Remote-sensing image under-segmentation object automatic recognition method

An object recognition and remote sensing image technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of image segmentation and under-segmentation of objects, etc., to improve efficiency, reduce false positive rate and missed judgment rate , high efficiency

Active Publication Date: 2014-05-07
EAST CHINA NORMAL UNIV
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Problems solved by technology

[0005] The present invention overcomes the defects in the prior art that image segmentation has a large amount of calculation, other contradictions are easily generated during the segmentation process, and wrong under-segmented objects are generated, and a method for recognizing under-segmented objects in high-resolution remote sensing images based on object texture hybridity is proposed.

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Embodiment Construction

[0028] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0029] The remote sensing image under-segmented object recognition method of the present invention firstly determines the spectral layer involved in image segmentation, obtains the segmented object layer after segmentation, and judges the area (number of pixels) of each segmented object, if it is less than a certain value, it can be ignored. If the area of ​​the object is larger than a certain threshold, the object is divided into two categories by the K-means clustering method, and then the mixed degree index (MD) of the object is calculated as the basis for judging under-...

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Abstract

The invention discloses a remote-sensing image under-segmentation object recognition method. The method comprises the following steps: data dimension reduction is performed on an image to obtain a segmentation object; clustering is performed on the segmentation object; a mixing degree index of the segmentation object is calculated according to the clustering; and the under-segmentation object is recognized in the segmentation object according to the mixing degree index. According to the judgment method of the invention, space texture and spectrum dimension information is combined, the obtained image segmentation result is more aligned with the distribution of real objects, and the under-segmentation object recognition speed and the recognition result accuracy can be improved.

Description

technical field [0001] The invention belongs to the field of remote sensing data processing, and relates to an automatic identification method for under-segmented objects of high-resolution remote sensing images. Background technique [0002] Image segmentation is a classic problem in computer vision research, and it is an important link to realize image object information extraction. After image objects are generated through image segmentation, further image analysis (such as object-oriented feature extraction and target recognition and image classification) and understanding to expand. Therefore, the quality of image segmentation will directly affect the accuracy of subsequent image analysis. How to efficiently and accurately match the segmentation effect with the actual ground objects has become a hot spot in the field of image understanding. [0003] At present, image segmentation technology can be mainly divided into traditional image segmentation methods including re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 殷瑞娟施润和李镜尧
Owner EAST CHINA NORMAL UNIV
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