Automatic remote sensing image registration based on SIFT descriptor and image classification

Zhiwen Zhu; Jiancheng Luo; Zhanfeng Shen

doi:10.1109/geoinformatics.2010.5567705

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JOURNAL ARTICLE

Automatic remote sensing image registration based on SIFT descriptor and image classification

Zhiwen Zhu Jiancheng Luo Zhanfeng Shen

Year: 2010 Vol: 31 Pages: 1-5

DOI: 10.1109/geoinformatics.2010.5567705

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Abstract

The Scale Invariant Feature Transform (SIFT) has been widely used in remote sensing image registration. However, there are many false matches when it is adopted to align images of different sensors. In this paper, a new method based on the combination of image classification and SIFT descriptor is proposed to improve the performance of registration. Experiment results support the potential of the proposed approach in remote sensing image registration.

Keywords:

Scale-invariant feature transform Artificial intelligence Computer vision Image registration Computer science Feature extraction Feature (linguistics) Image (mathematics) Pattern recognition (psychology) Feature detection (computer vision) Image processing

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Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Automatic remote sensing image registration based on SIFT descriptor and image classification

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