Artificial neural networks in direct georeferencing: Performance analysis

Photogrammetric Engineering and Remote Sensing

Volumn 70, Issue 7, 2004, Pages 765-768

  Chiang, Kai Wei ^a   El Sheimy, Naser ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; PERFORMANCE ASSESSMENT; REMOTE SENSING;

EID: 4143099221     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (5)

1. Forrest M., T. Spracklen, and N. Ryan, 2000. An inertial navigation data fusion system employing an artificial neural network as the data integrator, Proceedings of the ION NTM 2000 Anaheim, CA. January 26-28, 2000.CD-ROM.
2. Chiang, K.W. and N. El-Sheimy, 2002.INS/GPS integration using neural networks for land vehicle navigation, Proceedings of the US Institute of Navigation (ION) GPS'2002 meeting, September 24-27, 2002 - Oregon Convention Center, Portland, Oregon, USA.CD-ROM.
3. Chiang, K. W., 2003.The utilization of single point positioning and a multi-layers feed-forward network for INS/GPS integration, Proceedings of the US Institute of Navigation (ION) GPS'2003 meeting, September 9-13, 2003 - Oregon Convention Center, Portland, Oregon, USA.CD-ROM.
4. Mostafa, M.R., 2001. PE&RS Direct Georeferencing column: Introduction, Photogrammetric Engineering & Remote Sensing, 67:1105-1109.
5. Vanicek, P. and M. Omerbasic, 1999. Does a navigation algorithm have to use Kalman filter?, Canadian Aeronautics and Space Journal, Vol. 45, No.3, Septmber, 1999.