Advanced interpretation techniques for earth data information systems

Advanced interpretation techniques used in remote sensing are surveyed in the context of earth data information systems. Included are methods for extracting information from the spectral, temporal, and spatial domains. The many types of data contained in modern earth data information systems constitute a generalized scene context which current research seeks to exploit more fully. Initial efforts in this direction are described. Significant research problems in several related areas are discussed.

[1]  D. Landgrebe,et al.  The K-L Expansion as an Effective Feature Ordering Technique for Limited Training Sample Size , 1983, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Rama Chellappa,et al.  Estimation and choice of neighbors in spatial-interaction models of images , 1983, IEEE Trans. Inf. Theory.

[3]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[4]  B. F. Merembeck,et al.  Directed Canonical Analysis And the Performance of Classifiers under Its Associated Linear Transformation , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[5]  K. S. Fu,et al.  Modeling of Earth Resources Satellite Data , 1977 .

[6]  Azriel Rosenfeld,et al.  Web Grammars , 1969, IJCAI.

[7]  John A. Richards,et al.  Thematic mapping from multitemporal image data using the principal components transformation , 1984 .

[8]  T. Logan,et al.  Improving forest cover classification accuracy from Landsat by incorporating topographic information , 1978 .

[9]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  H. P. Decell,et al.  Linear feature selection with applications , 1979, Pattern Recognit..

[11]  Stephen B. Vardeman,et al.  Contextual classification of multispectral image data , 1981, Pattern Recognit..

[12]  Philip H. Swain,et al.  Purdue e-Pubs , 2022 .

[13]  Stephen B. Vardeman,et al.  Estimation of Context for Statistical Classification of Multispectral Image Data , 1982, IEEE Transactions on Geoscience and Remote Sensing.

[14]  J. A. Richards,et al.  Pixel Labeling by Supervised Probabilistic Relaxation , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Robert M. Haralick,et al.  Spatial Reasoning in Remotely Sensed Data , 1983, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Owen Robert Mitchell,et al.  Global shape recognition of 3-D objects using a differential library storage , 1984, Comput. Vis. Graph. Image Process..

[17]  Owen Robert Mitchell,et al.  Image segmentation using a local extrema texture measure , 1978, Pattern Recognit..

[18]  David A. Landgrebe,et al.  The development of a spectral-spatial classifier for earth observational data , 1980, Pattern Recognit..

[19]  D.A. Landgrebe.  Analysis technology for land remote sensing , 1981, Proceedings of the IEEE.

[20]  P. H. Swain,et al.  Bayesian classification in a time-varying environment , 1978 .

[21]  S. G. Wheeler,et al.  Crop classification with LANDSAT multispectral scanner data , 1978, Pattern Recognit..

[22]  Rangasami L. Kashyap,et al.  Characterization and estimation of two-dimensional ARMA models , 1984, IEEE Trans. Inf. Theory.

[23]  Stephen W. Wharton,et al.  A contextual classification method for recognizing land use patterns in high resolution remotely sensed data , 1982, Pattern Recognit..