LEADER 00941nam0 22003013i 450 001 996429052403316 005 20210803094132.0 010 $a88-8093-026-5 100 $a19960911d1996----||||0itac50 ba 101 1 $aita 102 $aIT 105 $aa 001y 200 1 $aNumerologia$etantra, ayurveda e astrologia$fHarish Johari$gillustrazioni di Pieter Weltevrede 210 1 $aVicenza$cIl punto d'incontro$d1996 215 $a236 p.$cill.$d22 cm 300 $aTraduzione di Cinzia Defendenti. 500 10$aNumerology with tantra, ayurveda and astrology$91836952 606 0 $aNumeri$xSimbolismo$2BNCF 676 $a133.335 700 1$aJOHARI,$bHarish$0826058 702 1$aWELTEVREDE,$bPieter 801 0$aIT$bcba$gREICAT 912 $a996429052403316 951 $aVI.7.B. 2429$bISLA$cVI.7.$d545928 959 $aBK 969 $aISLA 996 $aNumerology with tantra, ayurveda and astrology$91836952 997 $aUNISA LEADER 02081oam 2200565 450 001 9910715391503321 005 20210210093940.0 035 $a(CKB)5470000002510115 035 $a(OCoLC)682131064$z(OCoLC)622359719$z(OCoLC)667884090$z(OCoLC)974646689 035 $a(OCoLC)995470000002510115 035 $a(EXLCZ)995470000002510115 100 $a20101117d1989 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeohydrology and susceptibility of major aquifers to surface contamination in Alabama, area 11 /$fby Rick D. Castleberry, Richard S. Moreland, and John C. Scott ; prepared in cooperation with the Alabama Department of Environmental Management 210 1$aMontgomery, Alabama :$cU.S. Geological Survey,$d1989. 215 $a1 online resource (v, 47 pages) $ccolor illustrations, maps 225 1 $aWater-resources investigations report ;$v88-4107 300 $a"Area 11-Butler, Conecuh, Covington, Crenshaw, Escambia, and Monroe Counties." 320 $aIncludes bibliographical references (pages 25-26). 606 $aHydrogeology$zAlabama 606 $aGroundwater$xPollution$zAlabama 606 $aAquifers$zAlabama 606 $aGroundwater$xPollution$2fast 606 $aHydrogeology$2fast 615 0$aHydrogeology 615 0$aGroundwater$xPollution 615 0$aAquifers 615 7$aGroundwater$xPollution. 615 7$aHydrogeology. 700 $aCastleberry$b Rick D.$01386740 702 $aMoreland$b Richard S. 702 $aScott$b John C.$f1926- 712 02$aGeological Survey (U.S.), 712 02$aAlabama.$bDepartment of Environmental Management. 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCQ 801 2$bCOP 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910715391503321 996 $aGeohydrology and susceptibility of major aquifers to surface contamination in Alabama, area 11$93435912 997 $aUNINA LEADER 01299nkm 2200373I 450 001 9910705101003321 005 20160819130722.0 035 $a(CKB)5470000002446740 035 $a(OCoLC)956999594 035 $a(EXLCZ)995470000002446740 100 $a20160819d2013 ua k 101 0 $aeng 135 $aur||||||||||| 181 $csti$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExxon Valdez trustee hydrocarbon database /$fBonita Nelson ; Jeff Short 210 1$aJuneau, Alaska :$cAuke Bay Fisheries Laboratory, NOAA/NMFS,$d[2013?] 215 $a1 online resource (1 image) $ccolor 300 $aTitle from caption. 606 $aHydrocarbons$zAlaska$zPrince William Sound$xDatabases$vPosters 606 $aExxon Valdez Oil Spill, Alaska, 1989$xDatabases$vPosters 607 $aPrince William Sound (Alaska)$xEnvironmental conditions$xDatabases$vPosters 615 0$aHydrocarbons$xDatabases 615 0$aExxon Valdez Oil Spill, Alaska, 1989$xDatabases 700 $aNelson$b Bonita$01414877 702 $aShort$b Jeff 712 02$aAuke Bay Fisheries Laboratory, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910705101003321 996 $aExxon Valdez trustee hydrocarbon database$93515324 997 $aUNINA LEADER 03806nam 22006615 450 001 9910760262403321 005 20240702115425.0 010 $a3-031-42667-3 024 7 $a10.1007/978-3-031-42667-4 035 $a(MiAaPQ)EBC30771293 035 $a(Au-PeEL)EBL30771293 035 $a(DE-He213)978-3-031-42667-4 035 $a(PPN)272920541 035 $a(CKB)28461821600041 035 $a(EXLCZ)9928461821600041 100 $a20231004d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDimensionality Reduction of Hyperspectral Imagery /$fby Arati Paul, Nabendu Chaki 205 $a1st ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (125 pages) 311 08$aPrint version: Paul, Arati Dimensionality Reduction of Hyperspectral Imagery Cham : Springer International Publishing AG,c2023 9783031426667 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Remote sensing -- Digital image processing -- Hyperspectral image characteristics -- Dimensionality reduction -- Dataset description -- Pooling based band extraction -- Ranking based band selection -- Band optimization -- Data Driven approach -- Conclusion. 330 $aThis book provides information about different types of dimensionality reduction (DR) methods and their effectiveness in hyperspectral data processing. The authors first explain how hyperspectral imagery (HSI) plays an important role in remote sensing due to its high spectral resolution that enables better identification of different materials on the earth?s surface. The authors go on to describe potential challenges due to HSI being acquired in hundreds of narrow and contiguous bands, represented as a 3-dimensional image cube, often causing the bands to contain information redundancy. They then show how processing a large number of bands adds challenges in terms of computation complexity that reduces efficiency. The authors then present how DR is an essential step in hyperspectral data analysis to solve these issues. Overall, the book helps readers understand the DR processes and its impact in effective HSI analysis. Presents a data driven approach for dimensionality reduction (DR); Discusses the effect of spatial dimension and noise in the context of DR of hyperspectral imagery (HSI); Includes an optimization based approach for DR challenges and identification of gap areas in existing algorithms along with suitable solutions. 606 $aSignal processing 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputational intelligence 606 $aGeographic information systems 606 $aSignal, Speech and Image Processing 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputational Intelligence 606 $aGeographical Information System 615 0$aSignal processing. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputational intelligence. 615 0$aGeographic information systems. 615 14$aSignal, Speech and Image Processing. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputational Intelligence. 615 24$aGeographical Information System. 676 $a519.536 676 $a771.4 700 $aPaul$b Arati$01438724 702 $aChaki$b Nabendu 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910760262403321 996 $aDimensionality Reduction of Hyperspectral Imagery$93600360 997 $aUNINA