Remote Sensing Image Registration Using Convolutional Neural Network Features.
IEEE Geoscience and Remote Sensing Letters(2018)
摘要
Successful remote sensing image registration is an important step for many remote sensing applications. The scale-invariant feature transform (SIFT) is a well-known method for remote sensing image registration, with many variants of SIFT proposed. However, it only uses local low-level information, and loses much middle- or high-level information to register. Image features extracted by a convoluti...
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关键词
Feature extraction,Remote sensing,Image registration,Registers,Robustness,Transforms
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