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Remote sensing image processing method

A remote sensing image processing and remote sensing image technology, applied in the field of remote sensing images, can solve the problems of poor visual effect, increased remote sensing image computation, affecting information extraction accuracy and extraction efficiency, etc., to ensure accuracy and efficiency, and eliminate fine stripes. Noise and safety effects

Pending Publication Date: 2020-06-26
NANYANG INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If different effects are directly spliced ​​into a complete image, the visual effect will be poor. At the same time, in many qualitative or quantitative remote sensing image information extraction services, it will seriously affect the accuracy and efficiency of information extraction.
[0003] In order to improve the quality of remote sensing image processing, in the traditional remote sensing image processing, remote sensing image processing is usually carried out through the following steps: first, according to the remote sensing image to be processed, select a reference remote sensing image that is similar or similar to it, and then treat the color uniform remote sensing image and The reference remote sensing image is matched, and then the remote sensing image to be processed and the reference remote sensing image are merged according to the matching results. With the development of information technology and sensor technology, the spatial resolution, spectral resolution and temporal resolution of remote sensing images have been greatly improved. The amount of computation for image processing has also increased significantly, resulting in the processing speed of remote sensing images cannot meet the actual needs.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] The present invention provides a technical solution: a remote sensing image processing method, comprising the following steps:

[0027] S1. First obtain the original remote sensing image I0 and its image parameters, obtain the parameters of the satellite and camera that took the remote sensing image, input the remote sensing image set into the system, and automatically convert it by the conversion module to complete the process that the computer can understand the image, and then in Under the intervention of deep learning network, the changing factors of images or objects are processed to realize image recognition, and feature extraction is performed through a series of traditional changing factors;

[0028] S2. Viewpoint change: that is, to identify whether the object corresponds to how it was photographed or acquired, resulting in an original or multi-dimensional rotated image;

[0029] S3. Preparing for zooming: in a high-resolution space with a resolution higher tha...

Embodiment 2

[0037] A remote sensing image processing method, comprising the following steps:

[0038] S1. First obtain the original remote sensing image I0 and its image parameters, obtain the parameters of the satellite and camera that took the remote sensing image, input the remote sensing image set into the system, and automatically convert it by the conversion module to complete the process that the computer can understand the image, and then in Under the intervention of deep learning network, the changing factors of images or objects are processed to realize image recognition, and feature extraction is performed through a series of traditional changing factors;

[0039] S2. Viewpoint change: that is, to identify whether the object corresponds to how it was photographed or acquired, resulting in an original or multi-dimensional rotated image;

[0040] S3. Preparing for zooming: in a high-resolution space with a resolution higher than that of the multiple images, synthesize the multipl...

Embodiment 3

[0048] A remote sensing image processing method, comprising the following steps:

[0049] S1. First obtain the original remote sensing image I0 and its image parameters, obtain the parameters of the satellite and camera that took the remote sensing image, input the remote sensing image set into the system, and automatically convert it by the conversion module to complete the process that the computer can understand the image, and then in Under the intervention of deep learning network, the changing factors of images or objects are processed to realize image recognition, and feature extraction is performed through a series of traditional changing factors;

[0050] S2. Viewpoint change: that is, to identify whether the object corresponds to how it was photographed or acquired, resulting in an original or multi-dimensional rotated image;

[0051] S3. Preparing for zooming: in a high-resolution space with a resolution higher than that of the multiple images, synthesize the multiple ...

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PUM

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Abstract

The invention discloses a remote sensing image processing method. The method comprises the following operation steps: S1, acquiring an original remote sensing image I0 and image parameters thereof; acquiring parameters of a satellite and a camera for shooting the remote sensing image; inputting a remote sensing image set into the system and automatically converting the remote sensing image set bya conversion module, completing the process that a computer can understand images, then processing change factors of the images or objects under the intervention of a deep learning network, achievingimage recognition, and carrying out feature extraction through a series of traditional change factors. According to the remote sensing image processing method, IO recording is carried out on the data,convenience of data storage is guaranteed through a preprocessing compression mode, information is not prone to being damaged and lost, the image quality can be rapidly and effectively improved, andthe image processing effect can be completely, accurately and objectively inspected.

Description

technical field [0001] The invention relates to the technical field of remote sensing images, in particular to a remote sensing image processing method. Background technique [0002] In the application of remote sensing images, it is often necessary to obtain images that completely cover the research area. Since most of the images are often acquired in different phases, due to factors such as seasons, weather, illumination, and different regions, there are obvious color differences between images. differences in brightness, etc. If different effects are directly spliced ​​into a complete image, the visual effect will be poor. At the same time, in many qualitative or quantitative remote sensing image information extraction services, it will seriously affect the accuracy and efficiency of information extraction. [0003] In order to improve the quality of remote sensing image processing, in the traditional remote sensing image processing, remote sensing image processing is us...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06T3/40
CPCG06T7/0002G06T3/4053G06T2207/10032G06T5/70
Inventor 唐晓燕肖东岳熊雷贾晓毕建瀛刘勇军
Owner NANYANG INST OF TECH