References
- Alonzo, M., Bookhagen, B., and Roberts, D.A., 2014. Urban tree species mapping using hyperspectral and lidar data fusion. Remote Sensing of Environment, 148, 70–83. doi:10.1016/j.rse.2014.03.018.
- Buckley, S.J., et al., 2013. Computers & Geosciences Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis. Computers and Geosciences, 54, 249–258. doi:10.1016/j.cageo.2013.01.018.
- Chen, C.M., Hepner, G.F., and Forster, R.R., 2003. Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features. ISPRS Journal of Photogrammetry and Remote Sensing, 58 (1–2), 19–30. doi:10.1016/S0924-2716(03)00014-5.
- Dalponte, M., Bruzzone, L., and Gianelle, D., 2008. Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas. Geoscience and Remote Sensing, IEEE Transactions On, 46 (5), 1416–1427. doi:10.1109/TGRS.2008.916480.
- Dompok, B.G., 2013. Deepening Malaysia’s palm oil advantage. Chapter 9. In: Economic Transformation Programme: A Roadmap for Malaysia, Malaysia National Transformation Programme, Kuala Lumpur, Office of the Prime Minister, Malaysia, Kuala Lumpur. 281–314.
- Gruen, A. and Akca, D., 2005. Least squares 3D surface and curve matching. ISPRS Journal of Photogrammetry and Remote Sensing, 59 (3), 151–174. doi:10.1016/j.isprsjprs.2005.02.006.
- Haala, N. and Brenner, C., 1999. Extraction of buildings and trees in urban environments. ISPRS Journal of Photogrammetry and Remote Sensing, 54 (2), 130–137. doi:10.1016/S0924-2716(99)00010-6.
- Huafei, Y., Pin, L., Changwen, Z., & Xiaohui, H. 2012. A Multi-source Spatial Data Fusion Method Used for Terrain Simulation. In Recent Advances in Computer Science and Information Engineering (pp. 333-338). Springer, Berlin, Heidelberg.
- Karkee, M., Steward, B.L., and Aziz, S.A., 2008. Improving quality of public domain digital elevation models through data fusion. Biosystems Engineering, 101 (3), 293–305. doi:10.1016/j.biosystemseng.2008.09.010.
- Koetz, B., Sun, G., Morsdorf, F., Ranson, K. J., Kneubühler, M., Itten, K., & Allgöwer, B. 2007. Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization. Remote Sensing of Environment, 106 (4), 449–459.
- Papasaika, H. and Baltsavias, E. 2009. Fusion of LIDAR and photogrammetric generated digital elevation models. In Proceedings of the ISPRS Hannover Workshop on High-Resolution Earth Imaging for Geospatial Information, Hannover, Germany.
- Paramananthan, S., 2012. Best practices for sustainable oil palm cultivation. The Planter, 79, 27–29.
- Schenk, T. and Csathó, B., 2002. Fusion of LIDAR data and aerial imagery for a more complete surface description. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 34 (3/A), 310–317.
- Schindler, K., Papasaika-Hanusch, H., SCHüTZ, S. T. E. F. A. N., & Baltsavias, E. 2011. Improving Wide-Area DEMs Through Data Fusion – chances and Limits. In: Proceedings of the Photogrammetric Week (Vol. 11, pp. 159-170).
- Swatantran, A., et al., 2011. Remote Sensing of Environment Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion. Remote Sensing of Environment, 115 (11), 2917–2930. doi:10.1016/j.rse.2010.08.027.
- Tran, T.A., et al., 2014. A geomorphology-based approach for digital elevation model fusion - case study in Danang city, Vietnam. Earth Surface Dynamics, 2 (2), 403–417. doi:10.5194/esurf-2-403-2014.
- Tupin, F. and Roux, M., 2003. Detection of building outlines based on the fusion of SAR and optical features. ISPRS Journal of Photogrammetry and Remote Sensing, 58 (1–2), 71–82. doi:10.1016/S0924-2716(03)00018-2.
- Vosselman, G. (2002). Fusion of laser scanning data, maps, and aerial photographs for building reconstruction. IEEE International Geoscience and Remote Sensing Symposium, 1. doi:10.1044/1059-0889(2002/er01)
- Yang, L., Sheng, Y., and Wang, B., 2016. 3D reconstruction of building facade with fused data of terrestrial LiDAR data and optical image. Optik - International Journal for Light and Electron Optics, 127 (4), 2165–2168. doi:10.1016/j.ijleo.2015.11.147.
- Zhang, J., 2010. Multi-source remote sensing data fusion: status and trends. International Journal of Image and Data Fusion, 1 (1), 5–24. doi:10.1080/19479830903561035.