Non-rigid registration of hyperspectral imagery for analysis of agronomic scenes

Biosystems Engineering - Tập 98 - Trang 267-275 - 2007
Hector Erives1, Glenn J. Fitzgerald2, Thomas R. Clarke3
1Electrical Engineering Department, New Mexico Tech, Socorro, NM 87801, USA
2Department of Primary Industries, Horsham,Victoria 3401, Australia
3US Arid Land Agricultural Research Center, Maricopa, AZ 85239, USA

Tài liệu tham khảo

Averbuch, 2002 Bowden A E (2003). Tools for deformable image registration. PhD Dissertation, Department of Bioengineering, University of Utah Boyer, 2005, Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 762, 10.1109/TPAMI.2005.108 Castro, 1987, Registration of translated and rotated images using finite Fourier transform, IEEE Transactions on Pattern Analysis and Machine Intelligence, 9, 700, 10.1109/TPAMI.1987.4767966 Coulter, 2003, A frame center matching technique for precise registration of multitemporal airborne frame imagery, IEEE Transactions on Geoscience and Remote Sensing, 41, 2436, 10.1109/TGRS.2003.819191 Chen, 2002, Symmetric phase-only matched filtering of Fourier–Mellin transforms for image registration and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 1156, 10.1109/34.387491 Christensen G E; Geng X; Kuhl J G; Bruss J; Grabwski T J; Gongjian I W; Dereden L; Liangpei Z; XiuxiaoY (2002). A global optimal registration method for satellite remote sensing images. Photogrammetric Computer Vision (PCV02), Graz, Austria, September 9–13 Erives, 2005, Automated registration of hyperspectral images for precision agriculture, Computers and Electronics in Agriculture, 47, 103, 10.1016/j.compag.2004.11.016 Erives H, Fitzgerald G J (2006). Automatic sub-pixel registration for a tunable hyperspectral imaging system. 2006 IEEE International Geoscience & Remote Sensing Symposium & 27th Canadian Symposium on Remote Sensing, Denver, CO, July 31–August 4 Fitzgerald, 2004, Portable Hyperspectral Tunable Imaging System (PHyTIS) for precision agriculture, Agronomy Journal, 96, 311, 10.2134/agronj2004.0311 Fitzgerald, 2005, Multiple shadow fractions in spectral mixture analysis of a cotton canopy, Remote Sensing of Environment, 97, 526, 10.1016/j.rse.2005.05.020 Foroosh, 2002, Extension of phase correlation to subpixel registration, IEEE Transactions on Image Processing, 11, 188, 10.1109/83.988953 Gongjian W; Dereden L; Liangpei Z; Xiuxiao Y, (2002). A global optimal registration method for satellite remote sensing images. Photogrammetric Computer Vision (PCV02), Graz, Austria, September 9–13. Haber, 2004, Numerical method for volume preserving image registration, Inverse Problems, 20, 1621, 10.1088/0266-5611/20/5/018 Hall, 1979 Hong G; Zhang Y (2005). The image registration technique for high resolution remote sensing image on hilly area. Third International Symposium on Remote Sensing and Data Fusion Over Urban Areas & Fifth International Symposium on Remote Sensing of Urban Areas, March 14–16, Tempe, AZ Kim J; Fessler J A (2002). Image registration using robust correlation. First IEEE International Symposium on Biomedical Imaging, Washington, DC, July 2002 Kuglin, 1975, The phase correlation image alignment method, Proceedings of the IEEE Conference of Cybernetics Society, 1, 163 Le Moigne J; Wei X; Chalemwat P; El-Ghazawi, T; Mareboyana M; Netanyahu N; Tilton J C; Cambell W J; Cromp, R P (1998). First evaluation of automatic image registration methods, Geoscience and Remote Sensing Symposium Proceedings, 1998 (IGARSS ’98), vol. 1, pp 315–317. Lou X; Huang W; Fu B; Teng J (2006). A feature-based approach for automatic registration of NOAA AVHRR images. 2006 IEEE International Geoscience & Remote Sensing Symposium & 27th Canadian Symposium on Remote Sensing, Denver, CO, USA Maslov I G; Gertner I (2001). Gradient-based genetic algorithms in image registration. SPIE Automatic Target Recognition XI, Orlando, FL, April 2001 Pirwani A; Vannier M W; Allen J S; Damasio H. (2006). Introduction to the Non-Rigid Image Registration Evaluation Project (NIREP). Third International Workshop on Biomedical Image Registration, Utrecht, The Netherlands, July 9–11 Pope P; Theiler, J J; (2003). Automated image registration (AIR) of MTI imagery. Proceedings of the SPIE — Vol. 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, pp 294–305 Reddy, 1996, An FFT-based technique for translation, rotation and scaleinvariant image registration, IEEE Transactions on Image Processing, 5, 1266, 10.1109/83.506761 Shimizu, 2006, Multi-parameter simultaneous estimation on area-based matching, International Journal of Computer Vision, 67, 327, 10.1007/s11263-006-5632-3 Wen G; Li D; Zhang L; Yuan X (2002). A global optimal registration method for satellite remote sensing images. Photogrammetric Computer Vision, Graz, Austria, September Xiong Y; Quek F (2006). Automatic aerial image registration without correspondence. Fourth IEEE International Conference on Computer Vision Systems (ICVS 2006), January 5–7, Manhattan, New York City, NY Yang J; Blum R S; Williams J P; Sun Y; Xu C. (2006). Non-rigid image registration using geometric features and local salient region features, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition – Volume 1 (CVPR’06), pp 825–832. Zhang D; Yu L; Cai Z (2006). A matching-based automatic registration for remotely sensed imagery. 2006 IEEE International Geoscience & Remote Sensing Symposium & 27th Canadian Symposium on Remote Sensing, Denver, CO, USA Zitova, 2003, Image registration methods: a survey, Image and Vision Computing, 21, 977, 10.1016/S0262-8856(03)00137-9