Contextual techniques for classification of high and low resolution remote sensing data

References

• AMADAMN , M. , and KING , R. A. , 1988 , Low level segmentation of multispectral images via agglomerative clustering of uniform neighborhoods . Pattern Recognition , |v21v|, 261 – 268 .
   Google Scholar
• BISHOP , Y. , FIENDBERG , S. , and HOLLAND , P. , |y1975| , Discrete Multivariate Analysis-Theory and Practice ( MIT Press Cambridge , Massachusetts ).
   Google Scholar
• CONGALTON , R. G. , ODERWALD , R. G. , and MEAD , R. A. , 1983 , Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques . Photo-grammetric Engineering and Remote Sensing , |v49v|, 1671 – 1678 .
   Google Scholar
• EKLUNDH , J. O. , YAMAMOTO , H. , and ROSENFELD , A. , 1980 , A Relaxation method for multispectral pixel classification . I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence , PAMI-2 , 72 – 75 .
   PubMedGoogle Scholar
• FAUGERAS , O. D. , and BERTHOD , M. M. , 1981 , Improving consistency and reducing ambiguity in stochastic labeling An optimization approach . I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence , PAMI-|v3v|, 412 – 424 .
   PubMedGoogle Scholar
• HARALICK , R. M. , and Joo , H. , 1986 , A context classifier . I.E.E.E. Transactions on Geoscience and Remote Sensing , GE|v24v|, 997 – 1007 .
   Google Scholar
• HASLETT , J. , 1985 , Maximum likelihood discriminant analysis on the plane using a Markovian odel of spalial context . Pattern Recognition , |v18v|, 287 – 296 .
   Google Scholar
• KALAYEH , H. M. , and LANDGREBE , D. A. , 1987 , Stochastic model utilizing spectral and spatial haracteristics . I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence , AMI-|v9v|, 457 – 461 .
   PubMedGoogle Scholar
• KETTIG , R. L. , and LANDGREBE , D. A. , 1976 , Classification of multispectral image data by xtraction and Classification of Homogeneous Objects . I.E.E.E. Transactions on eoscience and Remote Sensing , GE-14 , 17 – 26 .
   Google Scholar
• KHAZENIE , N. , and CRAWFORD , M. M. , 1990 , Spatial-temporal autocorrelated model for ontextual classification . I.E.E.E. Transactions on Geoscience and Remote Sensing , GE-|v8v|, 529 – 539 .
   Google Scholar
• MERICKEL , M. B. , LANDGREBE , J. C. , and SHEN , S. S. , 1984 , A spatial processing algorithm to educe the effects of mixed pixels and increase the separability between classes . Pattern ecognition , |v17v|, 525 – 533 .
   Google Scholar
• PELEG , S. , 1980 , A new probabilistic relaxation scheme . I.E.E.E. Transactions on Pattern nalysis and Machine Intelligence , PAMI-2 , 362 – 369 .
   Google Scholar
• RICHARDS , J. A. , LANDGREBE , D. A. , and SWAIN , P. H. , 1981 , Pixel labeling by supervised probabilistic relaxation . I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence , PAMI-|v3v|, 188 – 191 .
   PubMed Web of Science ®Google Scholar
• SWAIN , P. H. , VARDEMAN , S. B. , and TILTON , I. C. , 1981 , Contextual classification of multispectral image data . Pattern Recognition , |v13v|, 429 – 441 .
   Google Scholar
• TILTON , J. C. , VARDEMAN , S. B. , and SWAIN , P. H. , 1982 , Estimation of context for statistical classification of multispectral image data . I.E.E.E. Transactions on Geoscience and Remote Sensing , GE-20 , 445 – 452 .
   Google Scholar
• TOUSSAINT , G. C. , 1978 , The use of context in pattern recognition . Pattern Recognition , |v10v|, 189 – 204 .
   Google Scholar