1 |
Bruzzone, L., D. F. Prieto, and S. B. Serpico, 1999. A neural-statistical approach to multitemporal and multisource remote-sensing image classfication,IEEE Transactions on Geoscience and Remote Sensing, 37(3): 1350-1359
|
2 |
Foody, G. M. and P. M. Atkinson, 2002. Uncertainty in remote sensing and GIS, John Wiley & Sons, Chichester,England
|
3 |
Goovaerts, P., 2001. Geostatistical modelling of uncertainty in soil science, Geoderma, 103(1):3-26
|
4 |
Journel, A. G., 1996. Modelling uncertainty and spatial dependence, International Journal of Geographical Information Systems, 10(5): 517-522
|
5 |
Kyriakidis, P. C. and J. L. Dungan, 2001. A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions, Environmental and Ecological Statistics, 8(4): 311-300
|
6 |
Rossi, R. E., J. L. Dungan, and L. R. Beck, 1994. Kriging in the shadows: geostatistical interpolation for remote sensing, Remote Sensing of Environment, 49(1): 32-40
|
7 |
Specht, D. F., 1990. Probabilistic neural network, Neural Networks, 3(1): 109-118
|
8 |
박노욱, 지광훈, 권병두. 2004. 퍼지 논리 융합과 반복적 relaxation labeling을 이용한 다중 센서 원격탐사 화상 분류. 대한원격탐사학회지, 20(4): 275-288
|
9 |
Congalton, R. G., 1991. A review of assessing the accuracy of classfications of remotely sensed data, Remote Sensing of Environment, 37(1): 35-46
|
10 |
Benediktsson, J. A. and I. Kanellopoulos, 1999. Classification of multisource and hyperspectral data based on decision fusion, IEEE Transactions on Geoscience and Remote Sensing, 37(3): 1367-1377
|
11 |
Zhu, A. X., 1997. Measuring uncertainty in class assignment for natural resource maps under fuzzy logic, Photogrammetric Engineering & Remote Sensing, 63(10): 1195-1202
PUBMED
|
12 |
Serpico, S. B., L. Bruzzone, and F. Roli, 1996. An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images, Pattern Recognition Letters, 17(13):1331-1341
|
13 |
Park, N.-W. , K.-H. Chi and B.-D. Kwon, 2003. Geostatistical integration of spectral and spatial information for land-cover mapping using remote sensing data, Geosciences Journal, 7(4): 335-341
|
14 |
Dungan, J. L., 1998. Spatial prediction of vegetation quantities using ground and image data, International Journal of Remote Sensing, 19(2):267-285
|
15 |
Goovaerts, P., 1997. Geostatistics for natural resources evaluation, Oxford University Press, New York
|
16 |
De Bruin,S., 2000. Predicting the areal extent of landcover types using classified imagery and geostatistics, Remote Sensing of Environment,74(3): 387-396
|
17 |
Binaghi, E., I. Gallo, M. Pepe, P. A. Brivio, S. Musazzi, and A. Bassini, 1997. Fuzzy contextual classification of multisource remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 35(2): 326-340
|
18 |
Canters, F., 1997. Evaluating the uncertainty of area estimates derived from fuzzy land-cover classification, Photogrammetric Engineering & Remote Sensing, 63(4): 403-414
|
19 |
Deutsch, C. V. and A. G. Journel, 1998. GSLIB: Geostatstical software library and user's guide, Oxford University Press, New York
|
20 |
Goovaerts, P., 2002. Geostatistical incorporation of spatial coordinate into supervised classfication of hyperspectral data, Journal of Geographical Systems, 4(1): 99-111
|
21 |
Wang, F., 1990. Fuzzy supervised classification of remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 28(2): 194-201
|
22 |
Steele, B. M., J. C. Winne, and R. L. Redmond, 1998. Estimating and mapping of misclassification probabilities for thematic land cover maps, Remote Sensing of Environment, 66(2): 192-202
DOI
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