Automated Class Labeling Of Classified Landsat TM Imagery Using a Hyperion-Generated Hyperspectral Library

[1]  P. Thenkabail,et al.  Spectral Matching Techniques to Determine Historical Land-use/Land-cover (LULC) and Irrigated Areas Using Time-series 0.1-degree AVHRR Pathfinder Datasets , 2007 .

[2]  Na Li,et al.  Transformation From Hyperspectral Radiance Data to Data of Other Sensors Based on Spectral Superresolution , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Prasad S. Thenkabail,et al.  An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data , 2012, Remote. Sens..

[4]  Kenneth L. Driese,et al.  A digital land cover map of Wyoming, USA: a tool for vegetation analysis , 1997 .

[5]  J. C. Price How unique are spectral signatures , 1994 .

[6]  B. Markham,et al.  Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges , 2003, IEEE Trans. Geosci. Remote. Sens..

[7]  K. Staenz,et al.  ISDAS – A System for Processing/Analyzing Hyperspectral Data , 1998 .

[8]  Terry L. Sohl,et al.  Regional characterization of land cover using multiple sources of data , 1998 .

[9]  Gregory Asner,et al.  Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Robert H. Fraser,et al.  Signature extension through space for northern landcover classification: A comparison of radiometric correction methods , 2005 .

[11]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[12]  Yichun Xie,et al.  Remote sensing imagery in vegetation mapping: a review , 2008 .

[13]  Fred A. Kruse,et al.  The Spectral Image Processing System (SIPS) - Interactive visualization and analysis of imaging spectrometer data , 1993 .

[14]  Lorenzo Bruzzone,et al.  Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images , 2001, IEEE Trans. Geosci. Remote. Sens..

[15]  Robert A. Neville,et al.  Preprocessing of EO-1 Hyperion data , 2006 .

[16]  C. Brodley,et al.  Decision tree classification of land cover from remotely sensed data , 1997 .

[17]  Y. Ban Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops , 2003 .

[18]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[19]  R. D. Ramsey,et al.  Landscape Cover-Type Modeling Using a Multi-Scene Thematic Mapper Mosaic , 1997 .

[20]  N. Campbell,et al.  Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification , 1992 .

[21]  Rick L. Lawrence,et al.  Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis , 2004 .

[22]  J. Chen,et al.  Classification by progressive generalization: A new automated methodology for remote sensing multichannel data , 1998 .

[23]  Helmi Zulhaidi Mohd Shafri,et al.  The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis , 2007 .

[24]  B. Brisco,et al.  Multidate SAR/TM synergism for crop classification in western Canada , 1995 .

[25]  Paul M. Mather,et al.  An assessment of the effectiveness of decision tree methods for land cover classification , 2003 .

[26]  Guofan Shao,et al.  Optimizing unsupervised classifications of remotely sensed imagery with a data-assisted labeling approach , 2008, Comput. Geosci..

[27]  S. Ghosh,et al.  Development of an agricultural crops spectral library and classification of crops at cultivar level using hyperspectral data , 2007, Precision Agriculture.

[28]  J. Cihlar Land cover mapping of large areas from satellites: Status and research priorities , 2000 .

[29]  Marco Pastori,et al.  Information mining in remote sensing image archives: system concepts , 2003, IEEE Trans. Geosci. Remote. Sens..

[30]  D. Stow,et al.  THE EFFECT OF TRAINING STRATEGIES ON SUPERVISED CLASSIFICATION AT DIFFERENT SPATIAL RESOLUTIONS , 2002 .

[31]  W. Cohen,et al.  Land cover mapping in an agricultural setting using multiseasonal Thematic Mapper data , 2001 .

[32]  D. Roberts,et al.  A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper , 2004 .

[33]  M. Govender,et al.  A review of hyperspectral remote sensing and its application in vegetation and water resource studies , 2009 .

[34]  J. Peñuelas,et al.  The reflectance at the 950–970 nm region as an indicator of plant water status , 1993 .