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

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 enh...

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Main Authors: Ruizhe Wang, Wang Xiao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/1029247
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author Ruizhe Wang
Wang Xiao
author_facet Ruizhe Wang
Wang Xiao
author_sort Ruizhe Wang
collection DOAJ
description 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.
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spelling doaj-art-b4ea10d66e04414c8aaaa3e643d5cc3a2025-08-20T02:23:31ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/1029247Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature FusionRuizhe Wang0Wang Xiao1Hohai UniversityHohai UniversitySince 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.http://dx.doi.org/10.1155/2022/1029247
spellingShingle Ruizhe Wang
Wang Xiao
Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
Journal of Mathematics
title Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
title_full Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
title_fullStr Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
title_full_unstemmed Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
title_short Adaptive Enhancement Algorithm of High-Resolution Satellite Image Based on Feature Fusion
title_sort adaptive enhancement algorithm of high resolution satellite image based on feature fusion
url http://dx.doi.org/10.1155/2022/1029247
work_keys_str_mv AT ruizhewang adaptiveenhancementalgorithmofhighresolutionsatelliteimagebasedonfeaturefusion
AT wangxiao adaptiveenhancementalgorithmofhighresolutionsatelliteimagebasedonfeaturefusion