{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T16:18:01Z","timestamp":1692634681470},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T00:00:00Z","timestamp":1596067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T00:00:00Z","timestamp":1596067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s11036-020-01616-1","type":"journal-article","created":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T02:21:44Z","timestamp":1596075704000},"page":"2390-2397","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Enhancement Method for Multimode Remote Sensing Image Based on LiDAR"],"prefix":"10.1007","volume":"25","author":[{"given":"Xuechao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khan","family":"Muhammad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,30]]},"reference":[{"issue":"2","key":"1616_CR1","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s12524-019-01069-4","volume":"48","author":"K Abbas","year":"2020","unstructured":"Abbas K, Farshid FA, Hamid E (2020) Developing an interpretation system for high-resolution remotely sensed images based on hybrid decision-making process in a multi-scale manner. Journal of the Indian Society of Remote Sensing 48(2):197\u2013214","journal-title":"Journal of the Indian Society of Remote Sensing"},{"issue":"12","key":"1616_CR2","first-page":"1","volume":"5","author":"R Cresson","year":"2018","unstructured":"Cresson R (2018) A framework for remote sensing images processing using deep learning technique. IEEE Geosci Remote Sens Lett 5(12):1\u20135","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"5","key":"1616_CR3","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.1109\/TGRS.2017.2783902","volume":"56","author":"G Cheng","year":"2018","unstructured":"Cheng G, Yang C, Yao X, Guo L, Han J (2018) When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Trans Geosci Remote Sens 56(5):2811\u20132821","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"1616_CR4","doi-asserted-by":"publisher","unstructured":"Liu S, Wang S, Liu X, et al (2020) Fuzzy Detection aided Real-time and Robust Visual Tracking under Complex Environments. IEEE Transactions on Fuzzy Systems: https:\/\/doi.org\/10.1109\/TFUZZ.2020.3006520","DOI":"10.1109\/TFUZZ.2020.3006520"},{"issue":"4","key":"1616_CR5","doi-asserted-by":"publisher","first-page":"1911","DOI":"10.1007\/s11045-019-00636-9","volume":"30","author":"K Madheswari","year":"2019","unstructured":"Madheswari K, Venkateswaran N (2019) An optimal weighted averaging fusion strategy for remotely sensed images. Multidim Syst Sign Process 30(4):1911\u20131935","journal-title":"Multidim Syst Sign Process"},{"issue":"10","key":"1616_CR6","first-page":"1","volume":"1","author":"K Mohammad","year":"2019","unstructured":"Mohammad K, Farahnaz M (2019) A joint adaptive evolutionary model towards optical image contrast enhancement and geometrical reconstruction approach in underwater remote sensing. SN Applied Sciences 1(10):1\u201312","journal-title":"SN Applied Sciences"},{"issue":"2","key":"1616_CR7","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1109\/TGRS.2018.2865197","volume":"57","author":"Q Yuan","year":"2018","unstructured":"Yuan Q, Zhang Q, Li J et al (2018) Hyperspectral image denoising employing a spatial\u2013spectral deep residual convolutional neural network. IEEE Trans Geosci Remote Sens 57(2):1205\u20131218","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"42","key":"1616_CR8","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.patcog.2017.08.030","volume":"73","author":"A Troya-Galvis","year":"2018","unstructured":"Troya-Galvis A, Gancarski P, Berti-Equille L (2018) Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recogn 73(42):259\u2013274","journal-title":"Pattern Recogn"},{"issue":"11","key":"1616_CR9","doi-asserted-by":"publisher","first-page":"24","DOI":"10.5120\/ijca2017913306","volume":"161","author":"DR Sowmya","year":"2017","unstructured":"Sowmya DR, Shenoy PD, Venugopal KR (2017) Remote sensing satellite image processing techniques for image classification: a comprehensive survey. International Journal of Computer Applications 161(11):24\u201337","journal-title":"International Journal of Computer Applications"},{"issue":"19","key":"1616_CR10","doi-asserted-by":"publisher","first-page":"2317","DOI":"10.3390\/rs11192317","volume":"11","author":"PJ Kinzel","year":"2019","unstructured":"Kinzel PJ, Legleiter CJ (2019) sUAS-based remote sensing of river discharge using thermal particle image Velocimetry and bathymetric LiDAR. Remote Sens 11(19):2317","journal-title":"Remote Sens"},{"issue":"6","key":"1616_CR11","doi-asserted-by":"publisher","first-page":"367","DOI":"10.14358\/PERS.84.6.367","volume":"84","author":"P Biasutti","year":"2018","unstructured":"Biasutti P, Aujol JF, Br\u00e9dif M, Bugeau A (2018) Range-image: incorporating sensor topology for LiDAR point cloud processing. Photogramm Eng Remote Sens 84(6):367\u2013375","journal-title":"Photogramm Eng Remote Sens"},{"key":"1616_CR12","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.atmosres.2018.04.017","volume":"213","author":"MR Perrone","year":"2018","unstructured":"Perrone MR, Romano S (2018) Relationship between the planetary boundary layer height and the particle scattering coefficient at the surface. Atmos Res 213:57\u201369","journal-title":"Atmos Res"},{"issue":"6","key":"1616_CR13","doi-asserted-by":"publisher","first-page":"692","DOI":"10.3390\/rs11060692","volume":"11","author":"HM Rizeei","year":"2019","unstructured":"Rizeei HM, Pradhan B (2019) Urban mapping accuracy enhancement in high-rise built-up areas deployed by 3D-orthorectification correction from WorldView-3 and LiDAR imageries. Remote Sens 11(6):692","journal-title":"Remote Sens"},{"issue":"7","key":"1616_CR14","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1109\/TMI.2018.2791721","volume":"37","author":"G Wang","year":"2018","unstructured":"Wang G, Li W, Zuluaga MA, Pratt R, Patel PA, Aertsen M, Doel T, David AL, Deprest J, Ourselin S, Vercauteren T (2018) Interactive medical image segmentation using deep learning with image-specific fine tuning. IEEE Trans Med Imaging 37(7):1562\u20131573","journal-title":"IEEE Trans Med Imaging"},{"issue":"2","key":"1616_CR15","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1080\/20548923.2018.1426273","volume":"3","author":"L Burigana","year":"2017","unstructured":"Burigana L, Magnini L (2017) Image processing and analysis of radar and LiDAR data: new discoveries in Verona southern lowland (Italy). STAR: Science & Technology of Archaeological Research 3(2):490\u2013509","journal-title":"STAR: Science & Technology of Archaeological Research"},{"key":"1616_CR16","doi-asserted-by":"publisher","first-page":"106537","DOI":"10.1016\/j.ymssp.2019.106537","volume":"138","author":"S Liu","year":"2020","unstructured":"Liu S, Guo C, Al-Turjman F et al (2020) Reliability of response region: a novel mechanism in visual tracking by edge computing for IIoT environments. Mech Syst Signal Process 138:106537","journal-title":"Mech Syst Signal Process"},{"issue":"8","key":"1616_CR17","doi-asserted-by":"publisher","first-page":"4435","DOI":"10.1109\/TGRS.2018.2820040","volume":"56","author":"J Ma","year":"2018","unstructured":"Ma J, Jiang J, Zhou H, Zhao J, Guo X (2018) Guided locality preserving feature matching for remote sensing image registration. IEEE Trans Geosci Remote Sens 56(8):4435\u20134447","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"12","key":"1616_CR18","doi-asserted-by":"publisher","first-page":"3684","DOI":"10.1080\/01431161.2017.1302112","volume":"38","author":"R Cao","year":"2017","unstructured":"Cao R, Zhang Y, Liu X, Zhao Z (2017) Roof plane extraction from airborne LiDAR point clouds. Int J Remote Sens 38(12):3684\u20133703","journal-title":"Int J Remote Sens"},{"issue":"8\u201310","key":"1616_CR19","doi-asserted-by":"publisher","first-page":"2991","DOI":"10.1080\/01431161.2016.1252476","volume":"38","author":"L Wei","year":"2017","unstructured":"Wei L, Yang B, Jiang J, Cao G, Wu M (2017) Vegetation filtering algorithm for UAV-borne LiDAR point clouds: a case study in the middle-lower Yangtze River riparian zone. Int J Remote Sens 38(8\u201310):2991\u20133002","journal-title":"Int J Remote Sens"},{"key":"1616_CR20","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.jpdc.2017.10.022","volume":"120","author":"P Zheng","year":"2018","unstructured":"Zheng P, Shuai L, Arun S et al (2018) Visual attention feature (VAF): a novel strategy for visual tracking based on cloud platform in intelligent surveillance systems. Journal of Parallel and Distributed Computing 120:182\u2013194","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"1","key":"1616_CR21","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1002\/eap.1638","volume":"28","author":"CR Hakkenberg","year":"2018","unstructured":"Hakkenberg CR, Peet RK, Urban DL et al (2018) Modeling plant composition as community continua in a forest landscape with L i DAR and hyperspectral remote sensing. Ecological Applications 28(1):177\u2013190","journal-title":"Ecological Applications"},{"issue":"4","key":"1616_CR22","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/s10712-019-09529-9","volume":"40","author":"JR Kellner","year":"2019","unstructured":"Kellner JR, Armston J, Birrer M, Cushman KC, Duncanson L, Eck C, Falleger C, Imbach B, Kr\u00e1l K, Kr\u016f\u010dek M, Trochta J, Vr\u0161ka T, Zgraggen C (2019) New opportunities for forest remote sensing through ultra-high-density drone LiDAR. Surv Geophys 40(4):959\u2013977","journal-title":"Surv Geophys"},{"issue":"8\u201310","key":"1616_CR23","doi-asserted-by":"publisher","first-page":"2411","DOI":"10.1080\/01431161.2016.1225181","volume":"38","author":"C Thiel","year":"2017","unstructured":"Thiel C, Schmullius C (2017) Comparison of UAV photograph-based and airborne LiDAR-based point clouds over forest from a forestry application perspective. Int J Remote Sens 38(8\u201310):2411\u20132426","journal-title":"Int J Remote Sens"},{"issue":"4","key":"1616_CR24","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/s12524-017-0712-8","volume":"46","author":"D Li","year":"2018","unstructured":"Li D, Zhang R (2018) Ensemble stacked auto-encoder classification on LiDAR remote sensing images. Journal of the Indian Society of Remote Sensing 46(4):597\u2013604","journal-title":"Journal of the Indian Society of Remote Sensing"},{"issue":"1","key":"1616_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/19479832.2016.1160960","volume":"8","author":"J Zhang","year":"2017","unstructured":"Zhang J, Lin X (2017) Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing. Int J Image Data Fusion 8(1):1\u201331","journal-title":"Int J Image Data Fusion"},{"issue":"10","key":"1616_CR26","doi-asserted-by":"publisher","first-page":"1865","DOI":"10.1109\/JPROC.2017.2675998","volume":"105","author":"G Cheng","year":"2017","unstructured":"Cheng G, Han J, Lu X (2017) Remote sensing image scene classification: benchmark and state of the art. Proc IEEE 105(10):1865\u20131883","journal-title":"Proc IEEE"},{"issue":"6","key":"1616_CR27","first-page":"17","volume":"93","author":"P Falez","year":"2019","unstructured":"Falez P, Tirilly P, Bilasco IM et al (2019) Unsupervised visual feature learning with spike-timing-dependent plasticity: how far are we from traditional feature learning approaches. Pattern Recogn 93(6):17\u201326","journal-title":"Pattern Recogn"},{"issue":"9","key":"1616_CR28","doi-asserted-by":"publisher","first-page":"2012","DOI":"10.1166\/jmihi.2019.2692","volume":"9","author":"VishnuVG","year":"2019","unstructured":"VishnuVG (2019) High performance multiple sclerosis classification by data augmentation and AlexNet transfer learning model. Journal of Medical Imaging and Health Informatics 9(9):2012\u20132021","journal-title":"Journal of Medical Imaging and Health Informatics"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-020-01616-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-020-01616-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-020-01616-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T00:01:27Z","timestamp":1627603287000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-020-01616-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,30]]},"references-count":28,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["1616"],"URL":"https:\/\/doi.org\/10.1007\/s11036-020-01616-1","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"value":"1383-469X","type":"print"},{"value":"1572-8153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,30]]},"assertion":[{"value":"30 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}