Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features

Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Features

Registration of multi-temporal remote sensing images has been widely applied in military and civilian fields, such as ground target identification, urban development assessment, and geographic change assessment. Ground surface change challenges feature point detection in amount and quality, which is...

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Bibliographic Details
Main Authors: Zhuoqian Yang, Tingting Dan, Yang Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Remote sensing
feature matching
image registration
convolutional feature
Online Access:https://ieeexplore.ieee.org/document/8404075/

Internet

https://ieeexplore.ieee.org/document/8404075/

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