Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

A Remote Sensing Image Target Recognition Method Based on SIFT Algorithm

Authors
Jun Xie, Zhonglin Xu, Yingnan Liu, Xiuying Fan
Corresponding Author
Jun Xie
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.33How to use a DOI?
Keywords
Remote sensing image; Target identification; SIFT; Image interpretation
Abstract
Aerial camera could obtain the ground target image information, and the target recognition could be carried through the image preprocessing and interpretation. In the process of image interpretation, under the precondition of massive images, if the interpretation member recognition was used only, the interpretation process will be complicated, time-consuming and the man-made errors will also be increased gradually. Based on this situation the SIFT method was used in the paper and the target in image received from aerial camera were got feature extraction, the feature points were obtained and it were contrast to the target feature points of standard target in the library which were set up in advance, so the accurate interpretation of aviation image target could achieved, so a kind of effective interpretation identification method for correct aviation image target recognition was proposed.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.33How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun Xie
AU  - Zhonglin Xu
AU  - Yingnan Liu
AU  - Xiuying Fan
PY  - 2015/04
DA  - 2015/04
TI  - A Remote Sensing Image Target Recognition Method Based on SIFT Algorithm
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 160
EP  - 163
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.33
DO  - https://doi.org/10.2991/icmra-15.2015.33
ID  - Xie2015/04
ER  -