Multi range spectral feature fitting for hyperspectral imagery in extracting oilseed rape planting area

[1]  Yong He,et al.  Rapid estimation of seed yield using hyperspectral images of oilseed rape leaves , 2013 .

[2]  Reza Jafari,et al.  Arid land characterisation with EO-1 Hyperion hyperspectral data , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[3]  Xiuping Jia,et al.  Collinearity and orthogonality of endmembers in linear spectral unmixing , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[4]  Veronika Kopacková,et al.  Mapping hazardous low-pH material in mining environment: Multispectral and hyperspectral aproaches , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Tsehaie Woldai,et al.  Multi- and hyperspectral geologic remote sensing: A review , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[6]  Robert K. Vincent,et al.  Spectral characterization and ASTER-based lithological mapping of an ophiolite complex: A case study from Neyriz ophiolite, SW Iran , 2011 .

[7]  Rama Rao Nidamanuri,et al.  Use of field reflectance data for crop mapping using airborne hyperspectral image , 2011 .

[8]  S. M. Jong,et al.  Physical characterization, spectral response and remotely sensed mapping of Mediterranean soil surface crusts , 2011 .

[9]  Bin Lei,et al.  [Mineral information extraction for hyperspectral image based on modified spectral feature fitting algorithm]. , 2011, Guang pu xue yu guang pu fen xi = Guang pu.

[10]  Kelly R. Thorp,et al.  Analysis of hyperspectral reflectance data for monitoring growth and development of lesquerella , 2011 .

[11]  W. Verhoef,et al.  Performance of spectral fitting methods for vegetation fluorescence quantification , 2010 .

[12]  A. Goetz,et al.  Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean , 2009 .

[13]  Jai Singh Parihar,et al.  Evaluation of EO-1 hyperion data for agricultural applications , 2008 .

[14]  P. Gong,et al.  Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index , 2008, Sensors.

[15]  Hermann Kaufmann,et al.  Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data , 2007 .

[16]  Chenghai Yang,et al.  Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield , 2007, Precision Agriculture.

[17]  Derek Rogge,et al.  Integration of spatial–spectral information for the improved extraction of endmembers , 2007 .

[18]  B. Xu,et al.  Land-use/land-cover classification with multispectral and hyperspectral EO-1 data , 2007 .

[19]  John R. Jensen,et al.  Effect of Continuum Removal on Hyperspectral Coastal Vegetation Classification Using a Fuzzy Learning Vector Quantizer , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Andrew Hall,et al.  Discrimination of blackberry (Rubus fruticosus sp. agg.) using hyperspectral imagery in Kosciuszko National Park,NSW, Australia , 2007 .

[21]  Antonio J. Plaza,et al.  A fast iterative algorithm for implementation of pixel purity index , 2006, IEEE Geoscience and Remote Sensing Letters.

[22]  A. Stein,et al.  Optimal field sampling for targeting minerals using hyperspectral data , 2005 .

[23]  M. Ashton,et al.  Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests , 2004 .

[24]  F. Meer Analysis of spectral absorption features in hyperspectral imagery , 2004 .

[25]  S. J. Sutley,et al.  Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems , 2003 .

[26]  D. Jacob,et al.  An intercomparison and evaluation of aircraft-derived and simulated CO from seven chemical transport models during the TRACE-P experiment , 2003 .

[27]  Alexander F. H. Goetz,et al.  Effects of spectrometer band pass, sampling, and signal‐to‐noise ratio on spectral identification using the Tetracorder algorithm , 2003 .

[28]  Fred A. Kruse,et al.  Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping , 2003, IEEE Trans. Geosci. Remote. Sens..

[29]  O.A. de Carvalho,et al.  Classification of hyperspectral image using SCM methods for geobotanical analysis in the Brazilian savanna region , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[30]  R. Clark,et al.  Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data , 2003 .

[31]  Stephen G. Ungar,et al.  Overview of the Earth Observing One (EO-1) Mission , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[32]  N. Zhang,et al.  Precision agriculture—a worldwide overview , 2002 .

[33]  G. Taylor,et al.  Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization , 2002 .

[34]  Chein-I Chang,et al.  Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

[35]  C. Small Estimation of urban vegetation abundance by spectral mixture analysis , 2001 .

[36]  P. Thenkabail,et al.  Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics , 2000 .

[37]  John B. Adams,et al.  Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .

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

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

[40]  A F Goetz,et al.  Imaging Spectrometry for Earth Remote Sensing , 1985, Science.

[41]  Antonio Plaza,et al.  Recent Developments in Endmember Extraction and Spectral Unmixing , 2011 .

[42]  S. Steinberg,et al.  MAPPING SUBMERGED MACROPHYTES: USING MULTI-RANGE SPECTRAL FEATURE FITTING TO MAP SUBMERGED EELGRASS IN A TURBID ESTUARY , 2007 .

[43]  Prasad S. Thenkabail,et al.  Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization , 2002 .

[44]  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 .

[45]  Bruce W. Pengra,et al.  Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm , 2022 .