LEADER 02500nam 2200349 450 001 9910729793003321 005 20230729234536.0 035 $a(CKB)4960000000468914 035 $a(NjHacI)994960000000468914 035 $a(EXLCZ)994960000000468914 100 $a20230729d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in UAV Detection, Classification and Tracking /$fDaobo Wang, Zain Anwar Ali 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (318 pages) 311 $a3-0365-7560-X 330 $a"Advances in UAV Detection, Classification and Tracking" is a comprehensive book that explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.With contributions from leading experts in the field, "Advances in UAV Detection, Classification and Tracking" is an essential resource for researchers, engineers, and practitioners working on UAV detection, classification, and tracking. It is also a valuable reference for graduate students and anyone interested in the latest advancements in this rapidly evolving field. 606 $aEnergy industries 615 0$aEnergy industries. 676 $a333.79 700 $aWang$b Daobo$01376992 702 $aAli$b Zain Anwar 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910729793003321 996 $aAdvances in UAV Detection, Classification and Tracking$93413446 997 $aUNINA LEADER 01797nas 2200529- 450 001 996321053903316 005 20231020213021.0 011 $a2541-5883 035 $a(DE-599)ZDB2887699-4 035 $a(OCoLC)1058526122 035 $a(CKB)3710000001416982 035 $a(CONSER)--2023232703 035 $a(EXLCZ)993710000001416982 100 $a20180319a20159999 o-- - 101 0 $aind 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aJurnal pengabdian kepada masyarakat 210 1$aYogyakarta, Indonesia :$cDirectorate of Community Services, Universitas Gadjah Mada,$d[2015]- 215 $a1 online resource 311 $a2460-9447 517 1 $aIndonesian journal of community engagement. 517 3 $aJPKM 606 $aCommunity development$zIndonesia$vPeriodicals 606 $aRural development$zIndonesia$vPeriodicals 606 $aPublic health$zIndonesia$vPeriodicals 606 $aCommunity development$2fast$3(OCoLC)fst00870818 606 $aPublic health$2fast$3(OCoLC)fst01082238 606 $aRural development$2fast$3(OCoLC)fst01101498 606 $aSocial conditions$2fast$3(OCoLC)fst01919811 607 $aIndonesia$xSocial conditions$vPeriodicals 607 $aIndonesia$2fast 608 $aPeriodicals.$2fast 615 0$aCommunity development 615 0$aRural development 615 0$aPublic health 615 7$aCommunity development. 615 7$aPublic health. 615 7$aRural development. 615 7$aSocial conditions. 712 02$aUniversitas Gadjah Mada.$bDirektorat Pengabdian kepada Masyarakat, 906 $aJOURNAL 912 $a996321053903316 996 $aJurnal pengabdian kepada masyarakat$93576176 997 $aUNISA