References
- Arana, E., P. Delicado, P., and L. Marti-Bonmati, 2005, "Validation Procedures in Radiological Diagnostic Models, Neural Network, and Logistic Regression," University at Pompeu Fabra, Department of Economics and Business http://www.econ.upf.es/deehome/what/wpapers/postscripts/414.pdf
- Breiman, L., 1996, "Heuristics of Instability and Stabilization in Model Selection," Annals of Statistics 24:2350-2383.
- Clutter, J. L., Fortson, J. C., Pienaar, L. V., Brister, G. H., and R. L. Bailey, 1983, Timber Management: A Quantitative Approach , New York, NY: John Wiley and Sons.
- Efron, B. and R. Tibshirani, 1997, "Cross-validation and the Bootstrap: Estimating the Error Rate of a Prediction Rule," Journal of the American Statistical Association 92:548-560.
- Fazakas, Z. and M. Nilsson, 1996, "Volume and Forest Cover Estimation over Southern Sweden Using AVHRR Data Calibrated with TM Data," International Journal of Remote Sensing 17:1701-1709.
- Franco-Lopez, H., Ek, A. R., and M. E. Bauer, 2001, "Estimation of Forest Stand Density, Volume, and Cover Type Using the K-Nearest Neighbors Method," Remote Sensing of Environment 77:251-274.
- Hardin, P. J. and C. N. Thomson, 1992, "Fast Nearest Neighbor Classification Methods for Multispectral Imagery," Professional Geographer 44(2):191-201.
- Hastie, T., Tibshirani, R., and J. Friedman, 2001, The Elements of Statistical Learning: Data Mining, Inference, and Prediction , New York, NY: Springer, 415-420.
- Holmstrom, H., 2002, "Estimation of Single-Tree Characteristics Using the KNN Method and Plotwise Aerial Photograph Interpretations," Forest Ecology and Management 167:303-314.
- James, M., 1985, Classification Algorithms , New York, NY: John Wiley and Sons.
- Jensen, J. R., 2005, Introductory Digital Image Processing: A Remote Sensing Perspective , 3rd Ed., Englewood Cliffs, NJ: Prentice-Hall.
- Katila, M., Heikkinen, J., and E. Tomppo, 2000, "Calibration of Small-Area Estimation for Map Errors in Multisource Forest Inventory," Canadian Journal of Forest Research 30:1329-1339.
- Katila, M. and E. Tomppo, 2001, "Selecting Estimation Parameters for the Finnish Multisource National Forest Inventory," Remote Sensing of Environment 76:16-32.
- Katila, M. and E. Tomppo, 2002, "Stratification by Ancillary Data in Multisource Forest Inventories Employing K-Nearest-Neighbour Estimation," Canadian Journal of Forest Research 32:1548-1561.
- McRoberts, R. E., Nelson, M. D., and D. G. Wendt, 2002, "Stratified Estimation of Forest Area Using Satellite Imagery, Inventory Data, and the K-Nearest Neighbor Technique," Remote Sensing of Environment 82:457-468.
- Shao, J. and D. Tu, 1995, The Jackknife and Bootstrap , New York, NY: Springer-Verlag.
- Tokola, T., 2000, "The Influence of Field Sample Data Location on Growing Stock Volume Estimation in Landsat TM-Based Forest Inventory in Eastern Finland," Remote Sensing of Environment 74:422-431.
- Tokola, T., Pitkanen, J., Partinens, S., and E. Muinonen, 1996, "Point Accuracy of a Non-parametric Method in Estimation of Forest Characteristics with Different Satellite Materials," International Journal of Remote Sensing 17:2333-2351.
- Tomppo, E., 1991, "Satellite Imagery-Based National Forest Inventory of Finland," International Archives of Photogrammetry and Remote Sensing 28:419-424.
- Tomppo, E., Goulding, C., and M. Katila, 1999, "Adapting Finnish Multi-source Forest Inventory techniques to the New Zealand preharvest inventory," Scandinavian Journal of Forest Research 14:182-192.
- Tomppo, E. and M. Halme, 2004, "Using Coarse Scale Forest Variables as Ancillary Information and Weighting of Variables in K-NN Estimation: A Genetic Algorithm Approach," Remote Sensing of Environment 92:1-20.
- Tomppo, E., Nilsson, M., Rosengren, M., Aalto, P., and P. Kennedy, 2002, "Simultaneous Use of Landsat-TM and IRS-1C WIFS Data in Estimating Large Area Tree Stem Volume and Above-Ground Biomass," Remote Sensing of Environment 82:156-157.
- Trotter, C. M., Drymond, J. R., and C. J. Gouldiing, 1997, "Estimation of Timber Volume in a Coniferous Plantation Forest Using Landsat TM," International Journal of Remote Sensing 18:2209-222.