A Learnable Joint Spatial and Spectral Transformation for High Resolution Remote Sensing Image Retrieval

Geometric and spectral distortions of remote sensing images are key obstacles for deep learning-based supervised classification and retrieval, which are worsened by cross-dataset applications. A learnable geometric transformation model imbedded in a deep learning model has been used as a tool for ha...

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Bibliographic Details
Main Authors: Yameng Wang, Shunping Ji, Yongjun Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9512433/