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Study of How Salt Types Greatly Shape Soil Reflectance Spectra versus Salt ConcentrationsQUAN WANG; PINGHENG LI; MAINA, John Nyongesah et al.Communications in soil science and plant analysis. 2013, Vol 44, Num 9-12, pp 1503-1510, issn 0010-3624, 8 p.Article

Classification models of bruise and cultivar detection on the basis of hyperspectral imaging dataSIEDLISKA, Anna; BARANOWSKI, Piotr; MAZUREK, Wojciech et al.Computers and electronics in agriculture. 2014, Vol 106, pp 66-74, issn 0168-1699, 9 p.Article

Automatic Estimation of Number of Clusters in Hyperspectral ImageryAMIN ALIZADEH NAEINI; SAADATSERESHT, Mohammad; HOMAYOUNI, Saeid et al.Photogrammetric engineering and remote sensing. 2014, Vol 80, Num 7, pp 619-626, issn 0099-1112, 8 p.Article

Supervised classification of bruised apples with respect to the time after bruising on the basis of hyperspectral imaging dataBARANOWSKI, Piotr; MAZUREK, Wojciech; PASTUSZKA-WOZNIAK, Joanna et al.Postharvest biology and technology. 2013, Vol 86, pp 249-258, issn 0925-5214, 10 p.Article

Using scattered hyperspectral imagery data to map the soil properties of a regionLAGACHERIE, P; BAILLY, J. S; MONESTIEZ, P et al.European journal of soil science. 2012, Vol 63, Num 1, pp 110-119, issn 1351-0754, 10 p.Article

Hyperspectral waveband selection for on-line measurement of grain cleannessWALLAYS, Carmen; MISSOTTEN, Bart; DE BAERDEMAEKER, Josse et al.Biosystems engineering. 2009, Vol 104, Num 1, pp 1-7, issn 1537-5110, 7 p.Article

Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheatJINGCHENG ZHANG; LIN YUAN; RUILIANG PU et al.Computers and electronics in agriculture. 2014, Vol 100, pp 79-87, issn 0168-1699, 9 p.Article

Hyperspectral band selection for detecting different blueberry fruit maturity stagesCE YANG; WON SUK LEE; GADER, Paul et al.Computers and electronics in agriculture. 2014, Vol 109, pp 23-31, issn 0168-1699, 9 p.Article

Hyperspectral Visible and Near-Infrared Determination of Copper Concentration in Agricultural Polluted SoilsANTONUCCI, F; MENESATTI, P; HOLDEN, N. M et al.Communications in soil science and plant analysis. 2012, Vol 43, Num 9-12, pp 1401-1411, issn 0010-3624, 11 p.Article

Improving hyperspectral data classification by fusing band and wavelet featuresCHENG WANG; JIN CHEN; RUNSHENG WANG et al.International journal of remote sensing (Print). 2012, Vol 33, Num 9-10, pp 3268-3285, issn 0143-1161, 18 p.Article

Denoising and dimensionality reduction of hyperspectral imagery using wavelet packets, neighbour shrinking and principal component analysisGUANGYI CHEN; QIAN, Shen-En.International journal of remote sensing (Print). 2009, Vol 30, Num 17-18, pp 4889-4895, issn 0143-1161, 7 p.Article

Estimating foliar biochemistry from hyperspectral data in mixed forest canopyHUBER, Silvia; KNEUBÜHLER, Mathias; PSOMAS, Achilleas et al.Forest ecology and management. 2008, Vol 256, Num 3, pp 491-501, issn 0378-1127, 11 p.Article

Two-Laser, Large-Field Hyperspectral Microarray Scanner for the Analysis of Multicolor MicroarraysERFURTH, Florian; TRETYAKOV, Alexander; NYUYKI, Berla et al.Analytical chemistry (Washington). 2008, Vol 80, Num 20, pp 7706-7713, issn 0003-2700, 8 p.Article

A novel l1/2 sparse regression method for hyperspectral unmixingLE SUN; ZEBIN WU; LIANG XIAO et al.International journal of remote sensing (Print). 2013, Vol 34, Num 19-20, pp 6983-7001, issn 0143-1161, 19 p.Article

Feature-based ensemble learning for hyperspectral chemical plume detectionKWON, Heesung; RAUSS, Patrick.International journal of remote sensing (Print). 2011, Vol 32, Num 21, pp 6631-6652, issn 0143-1161, 22 p.Article

Green citrus detection using hyperspectral imagingOKAMOTO, Hiroshi; WON SUK LEE.Computers and electronics in agriculture. 2009, Vol 66, Num 2, pp 201-208, issn 0168-1699, 8 p.Article

Adaptive linear minimum mean square error restoration : influence on hyperspectral detection strategyGAUCEL, Jean-Michel; GUILLAUME, Mireille; BOURENNANE, Salah et al.International journal of remote sensing (Print). 2008, Vol 29, Num 10, pp 2943-2961, issn 0143-1161, 19 p.Article

Hyperspectral canopy measurements under artificial illuminationDELALIEUX, S; SOMERS, B; VERSTRAETEN, W. W et al.International journal of remote sensing (Print). 2008, Vol 29, Num 19-20, pp 6051-6058, issn 0143-1161, 8 p.Article

SVM-based segmentation and classification of remotely sensed dataLIZARAZO, I.International journal of remote sensing (Print). 2008, Vol 29, Num 23-24, pp 7277-7283, issn 0143-1161, 7 p.Article

Hyperspectral scattering for assessing peach fruit firmnessRENFU LU; YANKUN PENG.Biosystems engineering. 2006, Vol 93, Num 2, pp 161-171, issn 1537-5110, 11 p.Article

A band selection approach for small target detection based on CEMKANG SUN; XIURUI GENG; LUYAN JI et al.International journal of remote sensing (Print). 2014, Vol 35, Num 13, pp 4589-4600, issn 0143-1161, 12 p.Article

Developing and validating novel hyperspectral indices for leaf area index estimation: Effect of canopy vertical heterogeneityPINGHENG LI; QUAN WANG.Ecological indicators. 2013, Vol 32, pp 123-130, issn 1470-160X, 8 p.Article

A novel framework for urban mapping from multispectral and hyperspectral dataBAKOS, K; LISINI, G; TRIANNI, G et al.International journal of remote sensing (Print). 2013, Vol 34, Num 3, pp 759-770, issn 0143-1161, 12 p.Article

A multiresolution spectral angle-based hyperspectral classification methodJIN CHEN; RUNSHENG WANG; CHENG WANG et al.International journal of remote sensing (Print). 2008, Vol 29, Num 11-12, pp 3159-3169, issn 0143-1161, 11 p.Article

Equivalence of modified Gaussian model (MGM) in wavenumber and Gaussian in wavelength for deconvolution of hyperspectral reflectance spectraGALLIE, E. A; LYDER, D. A; RIVARD, B et al.International journal of remote sensing (Print). 2008, Vol 29, Num 13-14, pp 4089-4096, issn 0143-1161, 8 p.Article

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