Comparison of Algorithms for Classifying Swedish Landcover Using Landsat TM and ERS-1 SAR Data
暂无分享,去创建一个
[1] Jong-Sen Lee,et al. Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Victor S. Frost,et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] J. Rissanen. A UNIVERSAL PRIOR FOR INTEGERS AND ESTIMATION BY MINIMUM DESCRIPTION LENGTH , 1983 .
[4] Alexander A. Sawchuk,et al. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[6] P. Swain,et al. Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data , 1990 .
[7] E. Nezry,et al. Adaptive speckle filters and scene heterogeneity , 1990 .
[8] S. Fleischer,et al. Drainage basin management — reducing river transported nitrogen , 1991 .
[9] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[10] I. Kanellopoulos,et al. Land-cover discrimination in SPOT HRV imagery using an artificial neural network - a 20-class experiment , 1992 .
[11] Horst Bischof,et al. Multispectral classification of Landsat-images using neural networks , 1992, IEEE Trans. Geosci. Remote. Sens..
[12] William J. Mitsch,et al. Landscape design and the role of created, restored, and natural riparian wetlands in controlling nonpoint source pollution , 1992 .
[13] B. Arheimer,et al. Modelling the effects of wetlands on regional nitrogen transport , 1994 .
[14] Zhenghao Shi,et al. A comparison of digital speckle filters , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.
[15] D. Peddle,et al. Multi-Source Image Classification II: An Empirical Comparison of Evidential Reasoning and Neural Network Approaches , 1994 .
[16] Daniel Z. Sui,et al. Recent Applications of Neural Networks for Spatial Data Handling , 1994 .
[17] Anil K. Jain,et al. Multisource classification of remotely sensed data: fusion of Landsat TM and SAR images , 1994, IEEE Trans. Geosci. Remote. Sens..
[18] Giles M. Foody,et al. The effect of training set size and composition on artificial neural network classification , 1995 .
[19] B. Brisco,et al. Multidate SAR/TM synergism for crop classification in western Canada , 1995 .
[20] James Darrell McCauley,et al. Comparison of scene segmentations: SMAP, ECHO, and maximum likelihood , 1995, IEEE Trans. Geosci. Remote. Sens..
[21] Anil K. Jain,et al. A Markov random field model for classification of multisource satellite imagery , 1996, IEEE Trans. Geosci. Remote. Sens..
[22] Jonas Ardö,et al. Neural networks, multitemporal Landsat Thematic Mapper data and topographic data to classify forest , 1997 .
[23] B. Turner,et al. Performance of a neural network: mapping forests using GIS and remotely sensed data , 1997 .
[24] K. Karlsson. Cloud climate investigations in the Nordic region using NOAA AVHRR data , 1997 .
[25] John A. Richards,et al. Remote Sensing Digital Image Analysis: An Introduction , 1999 .