Research on target detection methods in remote sensing image

DOI

10.2991/icadme-17.2017.44How to use a DOI?

Keywords

Remote sensing, target detection.

Abstract

This paper mainly discusses the imaging features of remote sensing images, as well as the core target detection technology of image application, and uses several traditional image detection algorithms to experiment. The experiment results show, for unspecific targets, the edge detection algorithm based on wavelet transform has better identification and robustness than other traditional image detection algorithms. For specific targets, such as roads, bridges and airport runways, the Hough algorithm has high detection accuracy, compared with the traditional image detection algorithm.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuo Chen
AU  - Xiangxu Meng
AU  - Xi Wang
PY  - 2017/07
DA  - 2017/07
TI  - Research on target detection methods in remote sensing image
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 222
EP  - 226
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.44
DO  - 10.2991/icadme-17.2017.44
ID  - Chen2017/07
ER  -