Image complexity judgment-based scene classification method for aerial remote sensing images

An image complexity and aerial remote sensing technology, which is applied in the field of aerial remote sensing image scene classification, can solve the problems of inaccurate processing of complex images, large content differences, and time redundancy of classified simple images, etc.

Active Publication Date: 2018-10-12
BEIHANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0008] The present invention is aimed at different aerial remote sensing images, the content of which is quite different, and a single method may generate large time redundancy when classifying simple images, and may not be accurate enough when processing complex images

Method used

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  • Image complexity judgment-based scene classification method for aerial remote sensing images
  • Image complexity judgment-based scene classification method for aerial remote sensing images
  • Image complexity judgment-based scene classification method for aerial remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0151] This example tests the aerial remote sensing image dataset containing 302 images. The test process and results are as follows:

[0152] The first step is to extract the complexity features of the aerial remote sensing image to be processed.

[0153] 1) Construct aerial remote sensing image dataset

[0154] The aerial remote sensing image data set includes 302 real aerial remote sensing images of 1392*1040 pixels. According to the complexity level, the images are divided into simple images, more complex images and complex images and are manually marked. Among them, as shown in Table 1, there are 100 complex images, 93 more complex images, and 109 simple images; 20 representative images of various complexity images are selected as the training set, and the remaining images are used as the test set.

[0155] Table 1

[0156]

[0157] 2) Extract the four types of complexity features of the image

[0158] Extract the four types of complexity features of all aerial remo...

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Abstract

The invention discloses an image complexity judgment-based scene classification method for aerial remote sensing images, and belongs to the technical field of image processing. The method comprises the steps of extracting complexity features of the aerial remote sensing images, and selecting multiple to-be-processed aerial remote sensing images to form training samples; forming a test sample set by using the rest of the aerial remote sensing images; manually classifying and tagging a training sample set according to the complexity, and performing combination with classifiers after multi-core mapping to obtain three image complexity classifiers; extracting the complexity features of the aerial remote sensing images A in the test set, and inputting the complexity features to the three classifiers, thereby obtaining a complexity judgment result of the aerial remote sensing images A, wherein a corresponding type when the hinge loss is minimum serves as a complexity type of the images; andaccording to the complexity judgment result of the aerial remote sensing images A, performing scene classification on the aerial remote sensing images A by using a proper method. According to the method, the complexity of the aerial remote sensing images can be effectively judged, thereby efficiently and accurately realizing scene classification of the aerial remote sensing images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an aerial remote sensing image scene classification method based on image complexity judgment. Background technique [0002] In recent years, with the continuous progress of the domestic aviation, electronics and information industries, UAV-related technologies are also developing rapidly, which makes the types of aerial remote sensing images richer, the quality is improved, and the application is more extensive. Aerial remote sensing images are the main means of obtaining basic geographic information, the basis for surveying and mapping, and the main source of data for relevant departments to obtain original surface information. Environmental protection and scientific research are closely related. [0003] Scene classification of images is an important branch in computer vision. For aerial remote sensing images, the result of scene classification represent...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/13G06V10/50G06V10/513G06V10/56G06F18/2411G06F18/214
Inventor 丁文锐陈映雪李红光
Owner BEIHANG UNIV
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