Aircraft Detection by Deep Belief Nets

Aircraft detection is a difficult task in high-resolution remote sensing images, due to the variable sizes, colors, orientations and complex backgrounds. In this paper, an effective aircraft detection method is proposed which exactly locates the object by outputting its geometric center, orientation...

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Veröffentlicht in:	Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing S. 54 - 58
Hauptverfasser:	Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chun-Hong Pan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2013
Schlagworte:	Aircraft Airports Deep convolutional Neural Networks Feature extraction Image segmentation Object detection Remote Sensing Robustness Satellites Training
ISSN:	0730-6512
Online-Zugang:	Volltext
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