Geostatistical and local cluster analysis of high resolution hyperspectral imagery for detection of anomalies

[1]  R. Colwell.  Remote sensing of the environment , 1980, Nature.

[2]  A. Journel,et al.  Geostatistics for natural resources characterization , 1984 .

[3]  L. Sandjivy.  The Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting , 1984 .

[4]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[5]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[6]  J. Boardman.  Inversion Of Imaging Spectrometry Data Using Singular Value Decomposition , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[7]  Xiaoli Yu,et al.  Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..

[8]  J. K. Crowley,et al.  AVIRIS study of Death Valley evaporite deposits using least-squares band-fitting methods , 1992 .

[9]  J. Boardman.  Automating spectral unmixing of AVIRIS data using convex geometry concepts , 1993 .

[10]  Chein-I Chang,et al.  Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach , 1994, IEEE Trans. Geosci. Remote. Sens..

[11]  Douglas L. Smith.  Detection technologies for mines and minelike targets , 1995, Defense, Security, and Sensing.

[12]  R. Clark,et al.  Spectral identification of minerals using imaging spectrometry data: Evaluating the effects of signal to noise and spectral resolution using the tricorder algorithm , 1995 .

[13]  J. Boardman,et al.  Mapping target signatures via partial unmixing of AVIRIS data: in Summaries , 1995 .

[14]  Edwin M. Winter,et al.  Phenomenology considerations for hyperspectral mine detection , 1995, Defense, Security, and Sensing.

[15]  A. Hayden,et al.  Determination of trace-gas amounts in plumes by the use of orthogonal digital filtering of thermal-emission spectra. , 1996, Applied optics.

[16]  R. Wen,et al.  Image Filtering by Factorial Kriging—Sensitivity analysis and application to Gloria side-scan sonar images , 1997 .

[17]  Ronald G. Resmini,et al.  Target detection in a forest environment using spectral imagery , 1997, Optics & Photonics.

[18]  J. Boardman,et al.  Leveraging the High Dimensionality of AVIRIS Data for improved Sub-Pixel Target i Unmixing and Rejection of False Positives : Mixture Tuned Matched Filtering , 1998 .

[19]  Eulogio Padro-Igúzquiza.  VARFIT: a fortran-77 program for fitting variogram models by weighted least squares , 1999 .

[20]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[21]  R. Webster,et al.  Filtering SPOT imagery by kriging analysis , 2000 .

[22]  Timothy C. Coburn,et al.  Geostatistics for Natural Resources Evaluation , 2000, Technometrics.

[23]  Chein-I Chang,et al.  Constrained subpixel target detection for remotely sensed imagery , 2000, IEEE Trans. Geosci. Remote. Sens..

[24]  James Theiler,et al.  Clustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

[25]  Joseph W. Boardman,et al.  Considerations in collecting, processing, and analysing high spatial resolution hyperspectral data for environmental investigations , 2002, J. Geogr. Syst..

[26]  R. Lawrence,et al.  Effects of sensor resolution on mapping in-stream habitats , 2002 .

[27]  W. Andrew Marcus,et al.  Mapping of stream microhabitats with high spatial resolution hyperspectral imagery , 2002, J. Geogr. Syst..

[28]  Richard J. Aspinall.  A geographic information science perspective on hyperspectral remote sensing , 2002, J. Geogr. Syst..

[29]  Pierre Goovaerts,et al.  Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data , 2002, J. Geogr. Syst..

[30]  Amy E. Parker Williams,et al.  Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering , 2002 .

[31]  Geoffrey M. Jacquez,et al.  Exposure assessment using high spatial resolution hyperspectral (HSRH) imagery , 2002, J. Geogr. Syst..

[32]  Geoffrey M. Jacquez,et al.  Area-based tests for association between spatial patterns , 2002, J. Geogr. Syst..

[33]  Chein-I Chang,et al.  Anomaly detection and classification for hyperspectral imagery , 2002, IEEE Trans. Geosci. Remote. Sens..

[34]  M. Meirvenne,et al.  Accounting for spatial dependence in the processing of multi-temporal SAR images using factorial kriging , 2002 .

[35]  W. Calvin,et al.  SEBASS hyperspectral thermal infrared data: surface emissivity measurement and mineral mapping , 2003 .

[36]  Chein-I. Chang.  Hyperspectral Imaging: Techniques for Spectral Detection and Classification , 2003 .

[37]  G. Jacquez,et al.  Local clustering in breast, lung and colorectal cancer in Long Island, New York , 2003, International journal of health geographics.

[38]  D. Mcgrath,et al.  Spatial distribution of soil organic carbon concentrations in grassland of Ireland , 2003 .

[39]  J. Boardman,et al.  High spatial resolution hyperspectral mapping of in-stream habitats, depths, and woody debris in mountain streams , 2003 .

[40]  L. Bruce,et al.  Wavelet analysis of hyperspectral reflectance data for detecting pitted morningglory (Ipomoea lacunosa) in soybean (Glycine max) , 2003 .

[41]  Multivariate Geostatistics , 2004 .

[42]  C. Derksen,et al.  A spatial statistical operator applied to multidate satellite imagery for identification of coral reef stress , 2004 .

[43]  J. Carr.  Spatial Statistics for Remote Sensing , 2005 .