LI L T, REN T, MA Y, et al. Evaluating Chlorophyll Density in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Red-Edge Parameters[J]. Computers and Electronics in Agriculture, 2016, 126:21-31. doi: 10.1016/j.compag.2016.05.008
|
ENTEZARI I, RIVARD B, LIPSETT M G, et al. Estimation of Methylene Blue Index in Oil Sands Tailings Using Hyperspectral Data[J]. The Canadian Journal of Chemical Engineering, 2017, 95(1):92-99. doi: 10.1002/cjce.22644
|
ZHENG X T, YUAN Y, LU X Q. A Target Detection Method for Hyperspectral Image Based on Mixture Noise Model[J]. Neurocomputing, 2016, 216:331-341. doi: 10.1016/j.neucom.2016.08.015
|
GAO H L, GU X F, YU T, et al. Method Study and Uncertainty Analysis of Calibration Coefficients Validation Based on the Inner Mongolia Test Site[J]. Science China Earth Sciences, 2013, 56(9):1540-1547. doi: 10.1007/s11430-012-4555-4
|
RAFERT J. Advances in Hyperspectral Remote Sensing Ⅰ:The visible Fourier Transform Hyperspectral Imager[J]. Journal of Spectral Imaging, 2015, 4:1-5.
|
ZARCO-TEJADA P J, CATALINA A, GONZÁLEZ M R, et al. Relationships Between Net Photosynthesis and SteadySstate Chlorophyll Fluorescence Retrieved from Airborne Hyperspectral Imagery[J]. Remote Sensing of Environment, 2013, 136:247-258. doi: 10.1016/j.rse.2013.05.011
|
YU S Q, JIA S, XU C Y. Convolutional Neural Networks for Hyperspectral Image Classification[J]. Neurocomputing, 2017, 219:88-98. doi: 10.1016/j.neucom.2016.09.010
|
MA X R, GENG J, WANG H Y. Hyperspectral Image Classification Via Contextual Deep Learning[J]. EURASIP Journal on Image and Video Processing, 2015(1):1-12.
|
ZARCO-TEJADA P J, GONZÁLEZ-DUGO V, BERNI J A J. Fluorescence, Temperature and Narrow-Band Indices Acquired from a UAV Platform for Water Stress Detection Using a Micro-Hyperspectral Imager and a Thermal Camera[J]. Remote Sensing of Environment, 2012, 117:322-337. doi: 10.1016/j.rse.2011.10.007
|
DATT B, MCVICAR T R, VAN NIEL T G, et al. Preprocessing EO-1 Hyperion Hyperspectral Data to Support the Application of Agricultural Indexes[J]. Geoscience & Remote Sensing IEEE Transactions on, 2003, 41(6):1246-1259.
|
GREEN R O, EASTWOOD M L, SARTURE C M, et al. Imagine Speuroscopy and the Airborne Visible/Infrared Imaging Spectrometer(AVIRIS)[J]. Remote Sensing of Environment, 1998, 65:227-248. doi: 10.1016/S0034-4257(98)00064-9
|
COCKS T, JENSSEN R, STEWART A, et al. The HYMAP Airborne Hyperspectral Sensor: The System, Calibration, and Performance[C]//Proceedings of the 1st EARSEL Workshop on Imaging Spectroscopy. Switzerland: Zurich, 1998: 37-42.
|
ZABCIC N, RIVARD B, ONG C, et al. Using Airborne Hyperspectral Data to Characterize the Surface pH and Mineralogy of Pyrite Mine Tailings[J]. International Journal of Applied Earth Observations & Geoinformation, 2014, 32(1):152-162.
|
ACEVO-HERRERA R, AGUASCA A, BOSCH-LLUIS X, et al. Design and First Results of an UAV-Borne L-Band Radiometer for Multiple Monitoring Purposes[J]. Remote Sensing, 2010, 2:1662-1679. doi: 10.3390/rs2071662
|
RANGO A, HAVSTAD K, ESTELL R. The Utilization of Historical Data and Geospatial Technology Advances at the Jornada Experimental Range to Support Western America Ranching Culture[J]. Remote Sensing, 2011(3):2089-2109.
|
REMONDINO F, BARAZZETTI L, NEX F, et al. UAV Photogrammetry for Mapping and 3D Modeling——Current Status and Future Perspectens[J]. Remote Sensing and Spatial Information Sciences, 2011, 22:1-7.
|
CHIABRANDO F, NEX F, PIATTI D. UAV and RPV Systems for Photogrammetric Surveys in Archaelogical Areas:Two Tests in the Piedmont Region (Italy)[J]. Journal of Archaeological Science, 2011, 38:697-710. doi: 10.1016/j.jas.2010.10.022
|
NIETHAMMER U, JAMES M R, ROTHMUND S. UAV-Based Remote Sensing of the Super-Sauze landslide:Evaluation and Results[J]. Engineering Geology, 2012, 128:2-11. doi: 10.1016/j.enggeo.2011.03.012
|
STACY N J S, CRAIG D W, STAROMLYNAKA J. The Global Hawk UAV Australian Deploynent:Imaging Radar Sensor Modifications and Employment for Maritime Surveillance[J]. In Proc ICARSS, 2002(2):699-701.
|
BIESEMANA J, EVERAERTS J, LEWYCKYJ N. PEGASUS: Remote Sensing from a Hale-Uav[C]//ASPRS 2005 An-nual Conference. Moryland: Baltimore, 2005: 1-4.
|
WATTS A C, AMBROSIA V G, HINKLEY E A. Unmanned Aircraft Systems in Remote Sensing and Scientific Research:Classification and Considerations of Use[J]. Remote Sensing, 2012, 4(6):1671-1692. doi: 10.3390/rs4061671
|
ZARCO-TEJADA P J, GONZALEZ-DUGO V, BERNI J A J. Fluorescence, Temperature and Narrow-Band Indices Acquired from a UAV Platform for Water Stress Using a Micro-Hyperspectral Images and a Thermal Camera[J]. Remote Sensing of Environment, 2012, 117:322-337. doi: 10.1016/j.rse.2011.10.007
|