1 |
Herold, M., D. A. Roberts, M. E. Gardner, and D. P. E., 2004. Spectrometry for urban area remote sensing-Development and analysisof a spectral library from 350 to 2400 nm, Remote Sensing of Environment, 91: 304-319
DOI
ScienceOn
|
2 |
Kilian, J., N. Haala, and M. Englich, 1996. DEM generation from laser scanner data using adaptive tin models, International Archives of Photogrammetry and Remote Sensing, 31: 383-388
|
3 |
Reese, H. M., T. M. Lillesand, D. E. Nagel, J. S. Stewart, R. A. Goldmann, T. E. Simmons, J. W. Chipman, and P. A. Tessar, 2002. Statewide land cover derived from multiseasonal Landsat TM data: A retrospective of the WISCLAND project, Remote Sensing of Environment, 82: 224-237
DOI
ScienceOn
|
4 |
Wang, L., W. P. Sousa, P. Gong, and G. S. Biging, 2004. Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama, Remote Sensing of Environment, 91: 432-440
DOI
ScienceOn
|
5 |
Holmgren, J. and A. Persson, 2004. Identifying species of individual trees using airborne laser scanner, Remote Sensing of Environment, 90: 415-423
DOI
ScienceOn
|
6 |
South, S., J. Qi, and D. P. Lusch, 2004. Optimal classification methods for mapping agricultural tillage practices, Remote Sensing of Environment, 91: 90-97
DOI
ScienceOn
|
7 |
Leckie, D., F. A. Gougeon, D. Hill, R. Quinn, L. Armstrong, and R. Shreenan, 2003. Combined high-density lidar and multispectral imagery for individual tree crown analysis, Canadian Journal of Remote Sensing, 29(5): 633-649
DOI
ScienceOn
|
8 |
Zhang, K., S.-C. Chen, D. Whitman, M.-L. Shyu, J. Yan, and C. Zhang, 2003. A progressive morphological filter for removing nonground measurements from airborne LIDAR Data, IEEE Transactions on Geoscience and Remote Sensing, 41(4): 872-882
DOI
ScienceOn
|
9 |
Koukoulas, S. and G. A. Blackburn, 2005. Mapping individual tree location, height and species in broadleaved deciduous forest using airborne LIDAR and multi-spectral remotely sensed data, International Journal of Remote Sensing, 26(3): 431-455
DOI
ScienceOn
|
10 |
Charaniya, A. P., R. Manduchi, and S. K. Lodha, 2004. Supervised parametric classification of aerial LiDAR data. Proc of Computer Vision and Pattern Recognition Workshop, Washington, DC, USA, 2004. Vol.3. 1-8
|
11 |
Shepard, D., 1968. A two-dimensional interpolation function for irregularly-spaced data. Proc of 23rd Association for Computing Machinery (ACM) National Conference, 1968. 517-524
|
12 |
Wozencraft, J. M., 2001. The coastal zone revealed through SHOALS lidar data. Proc of U.S. Hydrographic Conference 2001, NORFOLK, VIRGINIA, May 22-24, 2001
|
13 |
Hansen, M. C., R. S. Defries, J. R. G. Townshend, and R. Sohlberg, 2000. Global land cover classification at 1 km spatial resolution using a classification tree approach, International Journal of Remote Sensing, 21: 1331-1364
DOI
|
14 |
King, D. J., D. G. Pitt, and D. A. Pouliot, 2005. Development and evaluation of an automated tree detectiondelineation algorithm for monitoring regenerating coniferous forests, Canadian Journal of Forest research, 35(10): 2332-2345
DOI
ScienceOn
|
15 |
Axelsson, P., 1999. Processing of laser scanner dataalgorithms and applications, ISPRS Journal of Photogrammetry & Remote Sensing, 54: 138-147
DOI
ScienceOn
|
16 |
Nilsson, M., 1996. Estimation of tree heights and stand volume using an airborne lidar system, Remote Sensing of Environment, 56: 1-7
DOI
ScienceOn
|
17 |
Zarco-Tejadaa, P. J., A. Berjonb, R. Lopez-Lozanoc, J. R. Millerd, P. Martine, V. Cachorrob, M. R. Gonzaleze, and A. De Frutosb, 2005. Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy, Remote Sensing of Environment, 99(3): 271-287
DOI
ScienceOn
|
18 |
Story, M. and R. G. Congalton, 1986. Accuracy assessment: A user's perspective, Photogrammetric Engineering and Remote Sensing, 52(3): 397-399
|