LEADER 05769nam 2201597z- 450 001 9910637782203321 005 20221206 010 $a3-0365-5796-2 035 $a(CKB)5470000001631715 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94557 035 $a(oapen)doab94557 035 $a(EXLCZ)995470000001631715 100 $a20202212d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in Hyperspectral Data Exploitation 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (434 p.) 311 08$a3-0365-5795-4 330 $aUsing hyperspectral imaging (HSI) to exploit data has been found in a wide variety of applications. This reprint book only presents a small glimpse of it. Many other important applications using HSI which have emerged in data exploitation are not covered in this reprint book. For example, such applications may include water pollution and toxic waste in environmental monitoring, pesticide residual detection in food safety and inspection, plant and crop disease detection in agriculture, tumor detection and breast cancer detection in medical imaging, drug traffic in law enforcement, etc. Nevertheless, this reprint book provides many techniques which may find their ways in these applications as well. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aair temperature 610 $aanomaly detection 610 $aatmospheric transmittance 610 $aattention mechanism 610 $aband selection 610 $aband selection (BS) 610 $aboundary-aware constraint 610 $acarbon dioxide absorption 610 $achange detection 610 $achannel augmented attention 610 $aclassification 610 $acoffee beans 610 $acolor formation models 610 $aconstrained energy minimization (CEM) 610 $aconstrained sparse representation 610 $aconstrained-target optimal index factor band selection (CTOIFBS) 610 $aconstraint representation 610 $aconvolutional neural network 610 $adata augmentation 610 $adata fusion 610 $adeep convolutional neural networks 610 $adeep learning 610 $adenoising 610 $aemissivity 610 $aevolutionary computation 610 $aFTIR 610 $afused features 610 $agenerative adversarial network 610 $aheuristic algorithms 610 $ahyperspectral 610 $ahyperspectral image 610 $ahyperspectral image classification 610 $ahyperspectral image few-shot classification 610 $ahyperspectral image super-resolution 610 $ahyperspectral imagery 610 $ahyperspectral imagery classification 610 $ahyperspectral images 610 $ahyperspectral imaging 610 $ahyperspectral imaging (HSI) 610 $ahyperspectral imaging data 610 $ahyperspectral reconstruction 610 $ahyperspectral remote sensing 610 $ahyperspectral target detection 610 $ahyperspectral unmixing 610 $aimage classification 610 $aimage fusion 610 $ainsect damage 610 $ajoint tensor decomposition 610 $aleast square estimation 610 $alightweight convolutional neural networks 610 $amachine learning 610 $ameta-learning 610 $amidwave infrared 610 $amine environment 610 $amoving target detection 610 $amulti-source image fusion 610 $amultiscale decision fusion 610 $amultispectral image 610 $aMWIR 610 $anonlinear unmixing 610 $aplug-and-play 610 $arelation network 610 $aresidual augmented attentional u-shape network 610 $arice 610 $arice leaf blast 610 $arice leaf folder 610 $aself-supervised learning 610 $aself-supervised training 610 $aseparation 610 $aSFIM 610 $aspatial augmented attention 610 $aspatial filter 610 $aspatial measurement 610 $aspatio-temporal processing 610 $aspectral reconstruction 610 $aspectral-spatial residual network 610 $asuperpixel segmentation 610 $atarget detection 610 $atemperature 610 $atransfer learning 610 $aunderwater hyperspectral target detection 610 $aunderwater spectral imaging system 610 $aunmanned aerial vehicles (UAVs) 610 $aupland swamps 610 $avegetation 610 $avegetation mapping 610 $avisualization 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aChang$b Chein-I$4edt$0763028 702 $aSong$b Meiping$4edt 702 $aYu$b Chunyan$4edt 702 $aWang$b Yulei$4edt 702 $aYu$b Haoyang$4edt 702 $aLi$b Jiaojiao$4edt 702 $aWang$b Lin$4edt 702 $aLi$b Hsiao-Chi$4edt 702 $aLi$b Xiaorun$4edt 702 $aChang$b Chein-I$4oth 702 $aSong$b Meiping$4oth 702 $aYu$b Chunyan$4oth 702 $aWang$b Yulei$4oth 702 $aYu$b Haoyang$4oth 702 $aLi$b Jiaojiao$4oth 702 $aWang$b Lin$4oth 702 $aLi$b Hsiao-Chi$4oth 702 $aLi$b Xiaorun$4oth 906 $aBOOK 912 $a9910637782203321 996 $aAdvances in Hyperspectral Data Exploitation$93025992 997 $aUNINA