A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications

A Deep-Learning Workflow for CORONA-Based Historical Land Use Classifications

Historical satellite imagery lacks efficient methods for automated land use mapping, particularly when working with CORONA satellite data from the Cold War era. These high-resolution images from the 1960s offer valuable insights into historic land use conditions, but require intensive preprocessing...

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Bibliographic Details
Main Authors: Wei Liu, Shuai Li, Di Fan, Yixin Wen, Austin Madson, Jessica Mitchell, Yaqian He, Di Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
CORONA imagery
deep learning
digital elevation model (DEM)
dual-branch CNN
land use classification
Online Access:https://ieeexplore.ieee.org/document/11048867/
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https://ieeexplore.ieee.org/document/11048867/

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