Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion

Ruizhe Wang,Wang Xiao,Naeem Jan

doi:10.1155/2022/1029247

Abstract

Since the traditional adaptive enhancement algorithm of high-resolution satellite images has the problems of poor enhancement effect and long enhancement time, an adaptive enhancement algorithm of high-resolution satellite images based on feature fusion is proposed. The noise removal and quality enhancement areas of high-resolution satellite images are determined by collecting a priori information. On this basis, the histogram is used to equalize the high-resolution satellite images, and the local texture features of the images are extracted in combination with the local variance theory. According to the extracted features, the illumination components are estimated by Gaussian low-pass filtering. The illumination components are fused to complete the adaptive enhancement of high-resolution satellite images. Simulation results show that the proposed algorithm has a better adaptive enhancement effect, higher image definition, and shorter enhancement time.

Highlights

With the continuous progress of computer electronic technology, human beings have higher and higher requirements for computer applications
In view of the problems existing in the above algorithms, this paper proposes a high-resolution satellite image adaptive enhancement algorithm based on feature fusion, and experiments show that the proposed method can carry out high-resolution satellite image adaptive enhancement in the shortest time, with high enhancement accuracy and good image definition, which proves the effectiveness and practicability of the algorithm in this paper
A large number of remote sensing images obtained with the help of remote sensing technology have been widely used in various fields of national defense and national economic construction, such as military reconnaissance, crop yield estimation, land resource investigation, oil exploration, geospatial information updating, and other fields, which have produced huge economic and social effects

Summary

Introduction

With the continuous progress of computer electronic technology, human beings have higher and higher requirements for computer applications. When there are clouds in an image, if the remote sensing image to be used is not preprocessed, it will inevitably cause a great interference to obtain the real information and affect the quantitative analysis and interpretation of remote sensing data, which will reduce the application value of high-score satellite images. In view of the problems existing in the above algorithms, this paper proposes a high-resolution satellite image adaptive enhancement algorithm based on feature fusion, and experiments show that the proposed method can carry out high-resolution satellite image adaptive enhancement in the shortest time, with high enhancement accuracy and good image definition, which proves the effectiveness and practicability of the algorithm in this paper.

Adaptive Enhancement of High-Resolution Satellite Images

Simulation Experiment Analysis

Findings

Conclusion