A Texture-Considerate Convolutional Neural Network Approach for Color Consistency in Remote Sensing Imagery

A Texture-Considerate Convolutional Neural Network Approach for Color Consistency in Remote Sensing Imagery

Remote sensing allows us to conduct large-scale scientific studies that require extensive mapping and the amalgamation of numerous images. However, owing to variations in radiation, atmospheric conditions, sensor perspectives, and land cover, significant color discrepancies often arise between diffe...

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Bibliographic Details
Main Authors: Xiaoyuan Qian, Cheng Su, Shirou Wang, Zeyu Xu, Xiaocan Zhang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
Subjects:
color consistency
texture
convolutional neural network (CNN)
remote sensing cartography
Online Access:https://www.mdpi.com/2072-4292/16/17/3269

Internet

https://www.mdpi.com/2072-4292/16/17/3269

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