Rapid binary encoding based high resolution remote sensing image scene classification method

A binary coding and remote sensing image technology, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the problems of robustness and weak discrimination, and affect the accuracy of image classification, so as to ensure the accuracy of classification and reduce the cost of calculation Effect

Inactive Publication Date: 2014-09-10
WUHAN UNIV
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However, this binary feature representation method will make the robustness and discr

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  • Rapid binary encoding based high resolution remote sensing image scene classification method
  • Rapid binary encoding based high resolution remote sensing image scene classification method
  • Rapid binary encoding based high resolution remote sensing image scene classification method

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Embodiment Construction

[0047] The present invention uses unsupervised learning algorithm to train the local image blocks in the scene unit to obtain the filter bank, and binary codes the convolution response of the filter bank and the scene unit to obtain the global feature description of the scene unit, according to the global feature of the scene unit Describes remote sensing scene unit classification.

[0048] In order to express the technical solution of the present invention more clearly and intuitively, the steps of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0049] Step 1: Scene division of large-scale remote sensing images.

[0050] To perform scene classification on large-scale remote sensing images, the number of scene units and scene categories must be defined first. In the present invention, a rectangular area of ​​a suitable size is selected as a scene unit in a large-scale remote sensing image, and the ultimate goal is to...

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Abstract

The invention provides a rapid binary encoding based high resolution remote sensing image scene classification method. The rapid binary encoding based high resolution remote sensing image scene classification method comprises step 1, dividing remote sensing images to be classified to obtain scene units; step 2, extracting the same size of image blocks from the scene units to serve as local image block training samples; step 3, learning local image block training samples by an unsupervised learning method to obtain a filter group; step 4, performing convolution on the scene units and filters which are arranged in the filter group to obtain L filter response graphs of every scene unit and integrating the L filter response graphs of every scene unit by a binary encoding method to obtain global feature descriptions of the scene units; step 5, performing scene unit classification based on the global feature descriptions of the scene units. According to the rapid binary encoding based high resolution remote sensing image scene classification method, the calculation cost of the unsupervised learning method is greatly reduced under the condition that the accuracy of the scene classification is ensured.

Description

technical field [0001] The invention belongs to the technical field of intelligent analysis of remote sensing images, in particular to a method for classifying scenes of high-resolution remote sensing images, and is a method for classifying scenes of high-resolution remote sensing images based on fast binary coding. Background technique [0002] A scene in a remote sensing image refers to a local area with specific semantic meanings in the image. For example, a remote sensing image of an urban area usually includes a variety of different types of scenes such as commercial areas, residential areas, and industrial areas. Remote sensing image scene classification can make the most intuitive understanding of the entire remote sensing image, and can greatly facilitate workers in other fields (such as urban construction planners) to make correct decisions or plans. Therefore, remote sensing image scene classification has become an intelligent remote sensing information Deal with i...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 夏桂松胡凡张良培
Owner WUHAN UNIV
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