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Haze Removal Method for Remote Sensing Image Based on Content and Features and Multi-scale Model

A remote sensing image, multi-scale technology, applied in the field of image processing, can solve problems such as large depth of field and distance span, and achieve the effect of improving efficiency, effectively removing haze, and improving processing quality

Active Publication Date: 2022-03-22
XIJING UNIV
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Problems solved by technology

Outdoor images generally contain sky vistas; at the same time, most outdoor images have a large depth-of-field distance span

Method used

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  • Haze Removal Method for Remote Sensing Image Based on Content and Features and Multi-scale Model
  • Haze Removal Method for Remote Sensing Image Based on Content and Features and Multi-scale Model
  • Haze Removal Method for Remote Sensing Image Based on Content and Features and Multi-scale Model

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Embodiment Construction

[0048] The technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] With the rapid development of society and the continuous improvement of the level of social industrialization, the impact of human beings on the environment is also increasing. The number of bad weather such as smog has increased, which has a greater impact on the acquisition of optical remote sensing images. Optical remote sensing image is a very important remote sensing technology because it has high spatial resolution and rich texture detail information, and is suitable for the vi...

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Abstract

The invention discloses a remote sensing image haze elimination method based on content and features and a multi-scale model, which is completed by the following steps: obtaining auxiliary information of the image, preprocessing the type of the input remote sensing image; judging the coverage area of ​​the acquired image Scene content, set a reasonable number of scale parameters and assign corresponding values, use Retinex theory to process images; perform color compensation processing on images processed by Retinex algorithm; convert RGB images into HSI model images, and perform histogram on I components Equalization processing, after processing, convert to RGB image; convert image according to auxiliary information. The method of the invention can not only effectively eliminate the fog and haze phenomenon in the remote sensing image, achieve the purpose of enhancing the visual effect of the remote sensing image and improving the quality of the remote sensing image, but also has better ability to maintain the detailed information in the image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to remote sensing image processing and application, image enhancement theory, and atmospheric physical model, and specifically relates to a remote sensing image haze elimination method based on content and features and a multi-scale model. Background technique [0002] Imaging remote sensing technology is an indispensable technical means for human earth observation and deep space exploration. In a broad sense, remote sensing refers to the ability to obtain the electromagnetic information of a target without touching it. It includes not only remote sensing images acquired by traditional aircraft, satellites, and other platforms, but also images acquired by ordinary cameras, mobile phones, and video cameras. Therefore, remote sensing has entered a veritable public domain. Source Remote Sensing Era. At the same time, various types of imaging remote sensing satellites have been ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10032
Inventor 黄世奇赵伟伟吕林涛乌伟李丹王祖良张玉成
Owner XIJING UNIV
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