Remote Sensing Image Registration Using Convolutional Neural Network Features.

IEEE Geoscience and Remote Sensing Letters(2018)

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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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