1 |
Longhi, I., Sgavetti, M., Chiari, R., Mazzoli, C., 2001, Spectral analysis and classification of metamorphic rocks from laboratory reflectance spectra in the 0.4-2.5 ㎛ interval: A tool for hyperspectral data interpretation, International Journal of Remote Sensing, 22(18), 3763-3782.
DOI
|
2 |
Mhanolakis, D., Marden, D., Shaw, G., 2003, Hyperspectral image processing for automatic target detection applications, Lincoln Laboratory Journal, 14(1), 79-116.
|
3 |
Krupnik, D., Khan, S.D., 2019, Close-range, ground-based hyperspectral imaging for mining applications at various scales: Review and case studies, Earth-Science Reviews, 198, 102952.
DOI
|
4 |
Feng, J., Rogge, D., Rivard, B., 2018, Comparison of lithological mapping results from airborne Hyperspectral VNIR-SWIR, LWIR and combined data, International Journal of Applied Earth Observation and Geoinformation, 64, 340-353.
DOI
|
5 |
Kim, S.H., Kim, T.H., Hong, C.H., 2010, A study on classification of bed rock over Antarctic Terra nova bay using hyperspectral image, Journal of Korea Spatial Information Society, 18(5), 55-61 (in Korean with English abstract).
|
6 |
Graham, G.E., Kokaly, R.F., Kelley, K.D., Hoefen, T.M., Johnson, M.R., Hubbard, B.E., 2018, Application of imaging spectroscopy for mineral exploration in Alaska: A study over porphyry Cu deposits in the Eastern Alaska Range, Economic Geology, 113(2), 489-510.
DOI
|
7 |
Kumar, C., Chatterjee, S., Oommen, T., Guha, A., 2020, Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in gold-bearing granite-greenstone rocks in Hutti, India, International Journal of Applied Earth Observation and Geoinformation, 86, 102006.
DOI
|
8 |
Laakso, K., Rivard, B., Peter, J.M., White, H.P., Maloley, M., Harris, J., Rogge, D., 2015, Application of airborne, laboratory, and field hyperspectral methods to mineral exploration in the Canadian Arctic: Recognition and characterization of volcanogenic massive sulfide-associated hydrothermal alteration in the Izok lake deposit area, Nunavut, Canada, Economic Geology, 110(4), 925-941.
DOI
|
9 |
Gowen, A., O'Donnell, C., Cullen, P., Downey, G., Frias, J., 2007, Hyperspectral imaging - an emerging process analytical tool for food quality and safety control, Trends in Food Science & Technology, 18(12), 590-598.
DOI
|
10 |
Heo, A., Choi, S., Lee, J.H., Kim, T., Park, D.J., 2010, Optical system design and image processing for hyperspectral imaging systems, Journal of the Korea Institute of Military Science and Technology, 13(2), 328-335 (in Korean with English abstract).
|
11 |
Herold, M., Gardner, M.E., Roberts, D.A., 2003, Spectral resolution requirements for mapping urban areas, IEEE Transactions on Geoscience and Remote Sensing, 41(9), 1907-1919.
DOI
|
12 |
Koerting, F., Rogass, C., Kaempf, H., Lubitz, C., Harms, U., Schudack, M., Kokaly, R., Mielke, C., Boesche, N., Altenberger, U., 2015, Drill core mineral analysis by means of the hyperspectral imaging spectrometer HySpex, XRD and ASD in proximity of the Mytina Maar, Czech Republic, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1-W5, 417-424.
DOI
|
13 |
Akbari, H., Kosugi, Y., Kojima, K., Tanaka, N., 2010, Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging, IEEE Transactions on Biomedical Engineering, 57(8), 2011-2017.
DOI
|
14 |
Benediktsson, J.A., Palmason, J.A., Sveinsson, J.R., 2005, Classification of hyperspectral data from urban areas based on extended morphological profiles, IEEE Transactions on Geoscience and Remote Sensing, 43(3), 480-491.
DOI
|
15 |
Boesche, N., Rogass, C., Lubitz, C., Brell, M., Herrmann, S., Mielke, C., Tonn, S., Appelt, O., Altenberger, U., Kaufmann, H., 2015, Hyperspectral REE (rare earth element) mapping of outcrops-applications for neodymium detection, Remote Sensing, 7(5), 5160-5186.
DOI
|
16 |
Brown, D.J., Shepherd, K.D., Walsh, M.G., Dewayne Mays, M.D., Reinsch, T.G., 2006, Global soil characterization with VNIR diffuse reflectance spectroscopy, Geoderma, 132(3-4), 273-290.
DOI
|
17 |
Goetz, A.F.H., 1991, Imaging spectrometry for studying earth, air, fire and water, EARSeL, Advances in Remote Sensing, 1(1), 3-15.
|
18 |
Chattoraj, S.L., Prasad, G., Sharma, R.U., Champati Ray, P.K., van der Meer, F.D., Guha, A., Pour, A.B., 2020, Integration of remote sensing, gravity and geochemical data for exploration of Cu-mineralization in Alwar basin, Rajasthan, India, International Journal of Applied Earth Observation and Geoinformation, 91, 102-162.
|
19 |
Choe, E., van der Meer, F., van Ruitenbeek, F., van der Werff, H., De Smeth, B., Kim, K.W., 2008, Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain, Remote Sensing of Environment, 112(7), 3222-3233.
DOI
|
20 |
Crosta, A.P., Sabine, C., Taranik, J.V., 1998, Hydrothermal alteration mapping at Bodie, California, using AVIRIS hyperspectral data, Remote Sensing of Environment, 65(3), 309-319.
DOI
|
21 |
Brewer, L.N., Ohlhausen, J.A., Kotula, P.G., Michael, J.R., 2008, Forensic analysis of bioagents by X-ray and TOF-SIMS hyperspectral imaging, Forensic Science International, 179(2-3), 98-106.
DOI
|
22 |
Lowe, A., Harrison, N., French, A.P., 2017, Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress, Plant Methods, 13, 80.
DOI
|
23 |
Manolakis, D., Shaw, G., 2002, Detection algorithms for hyperspectral imaging applications, IEEE Signal Processing Magazine, 19(1), 29-43.
DOI
|
24 |
Rogass, C., Koerting, F.M., Mielke, C., Brell, M., Boesche, N.K., Bade, M., Hohmann, C., 2017, Translational imaging spectroscopy for proximal sensing, Sensors, 17(8), 1857.
DOI
|
25 |
Kirkland, L., Herr, K., Keim, E., Adams, P., Salisbury, J., Hackwell, J., Treiman, A., 2002, First use of an airborne thermal infrared hyperspectral scanner for compositional mapping, Remote Sensing of Environment, 80(3), 447-459.
DOI
|
26 |
Krupnik, D., Khan, S.D., 2020, High-resolution hyperspectral mineral mapping: Case studies in the Edwards Limestone, Texas, USA and sulfide-rich quartz veins from the Ladakh Batholith, Northern Pakistan, Minerals, 10(11), 967.
DOI
|
27 |
Mars, J.C., Crowley, J.K., 2003, Mapping mine wastes and analysing areas affected by selenium-rich water runoff in southeast Idaho using AVIRIS imagery and digital elevation data, Remote Sensing of Environment, 84(3), 422-436.
DOI
|
28 |
Nocita, M., Stevens, A., Noon, C., van Wesemael, B., 2013, Prediction of soil organic carbon for different levels of soil moisture using vis-NIR spectroscopy, Geoderma, 199, 37-42.
DOI
|
29 |
Rasti, B., Scheunders, P., Ghamisi, P., Licciardi, G., Chanussot, J., 2018, Noise reduction in hyperspectral imagery: Overview and application, Remote Sensing, 10(3), 482.
DOI
|
30 |
Rogge, D., Rivard, B., Segl, K., Grant, B., Feng, J., 2014, Mapping of NiCu-PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery, Nunavik, Canada, Remote Sensing of Environment, 152, 302-317.
DOI
|
31 |
Shaw, G.A., Burke, H.K., 2003, Spectral imaging for remote sensing, Lincoln Laboratory Journal, 14(1), 3-28.
|
32 |
Srodon, J., Drits, V.A., McCarty, D.K., Hsieh, J.C., Eberl, D.D., 2001, Quantitative X-ray diffraction analysis of clay-bearing rocks from random preparations, Clays and Clay Minerals, 49(6), 514-528.
DOI
|
33 |
Thompson, D.R., Bornstein, B.J., Chien, S.A., Schaffer, S., Tran, D., Bue, B.D., Castano, R., Gleeson, D.F., Noell, A., 2013, Autonomous spectral discovery and mapping onboard the EO-1 spacecraft, IEEE Transactions on Geoscience and Remote Sensing, 51(6), 3567-3579.
DOI
|
34 |
van der Meer, F., 2003, Bayesian inversion of imaging spectrometer data using a fuzzy geological outcrop model, International Journal of Remote Sensing, 24(22), 4301-4310.
DOI
|
35 |
van der Meer, F., Kato, V., 2002, Developing a schematic petrogenetic transect for a contact aureole using field spectrometry; A case study in los Santos, Salamanca Province, Central-Western Spain, International Journal Remote Sensing, 23(23), 5087-5094.
DOI
|