{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T16:27:22Z","timestamp":1758040042858,"version":"3.44.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Research Council of Norway, Center for Space Sensors and Systems"},{"name":"SFI Center for Research-based Innovation program","award":["309835"],"award-info":[{"award-number":["309835"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3602630","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:45:54Z","timestamp":1756154754000},"page":"21954-21966","source":"Crossref","is-referenced-by-count":0,"title":["Using Monoscopic Multispectral Earth Observation Images to Predict Terrain Features With Deep Neural Networks"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8440-0995","authenticated-orcid":false,"given":"Kristoffer","family":"Langstad","sequence":"first","affiliation":[{"name":"Center for Space Sensors and Systems (CENSSS), Department of Technology Systems, University of Oslo, Kjeller, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1055-5846","authenticated-orcid":false,"given":"Eleonora Jonasova","family":"Parelius","sequence":"additional","affiliation":[{"name":"Norwegian Defense Research Establishment (FFI), Kjeller, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3316-9213","authenticated-orcid":false,"given":"Stian","family":"L\u00f8vold","sequence":"additional","affiliation":[{"name":"University of Oslo, Kjeller, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9723-5532","authenticated-orcid":false,"given":"David","family":"V\u00f6lgyes","sequence":"additional","affiliation":[{"name":"AI researcher, Field Geospatial AS, Oslo, Norway"}]}],"member":"263","reference":[{"article-title":"Deep learning for ground and non-ground surface separation: A feature-based semantic segmentation algorithm for point cloud classification","year":"2022","author":"Nurunnabi","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/land12010193"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs14205128"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs13030519"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsl.2022.117642"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/gj.4897"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2023.2189035"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XLI-B4-157-2016"},{"key":"ref9","article-title":"Everything you need to know about digital elevation models (DEMs), digital surface models (DSMs), and digital terrain models (DTMs)","author":"Marwaha","year":"2021","journal-title":"The UP42 blog - Ind."},{"key":"ref10","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Eigen","year":"2014"},{"issue":"7","key":"ref11","first-page":"833","article-title":"Remote sensing and cast shadows in mountainous terrain","volume":"67","author":"Giles","year":"2001","journal-title":"Photogrammetric Eng. Remote Sens."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.26868\/25222708.2021.30735"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2024.2392851"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-X-4-W1-2022-589-2023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.01.013"},{"article-title":"High quality monocular depth estimation via transfer learning","year":"2018","author":"Alhashim","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298652"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ITNEC56291.2023.10082076"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18520\/cs\/v125\/i6\/665-677"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-023-10882-7"},{"issue":"2","key":"ref24","first-page":"34","article-title":"Aw3d30 and SRTM30 digital elevation models-comparison around coastal islands in Gyeongsangnam-do, South Korea","volume":"21","author":"Yang","year":"2018","journal-title":"J. Korean Assoc. Geographic Inf. Stud."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2018.1453174"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/10106049.2023.2252389"},{"journal-title":"Earth Resour. Observ. Sci. Center","article-title":"USGS EROS archive - Sentinel-2","year":"2018","key":"ref27"},{"year":"2025","key":"ref28","article-title":"Arcgis pro 3.4 - how hillshade works"},{"article-title":"Create a hillshade from a terrain raster in Python","year":"2024","author":"Hass","key":"ref29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8825509"},{"year":"2025","key":"ref31","article-title":"Sentinel-2"},{"key":"ref32","first-page":"71","article-title":"Precise global dem generation by ALOS prism","volume-title":"ISPRS Ann. Photogrammetry, Remote Sens. Spatial Inf. Sci.","author":"Tadono","year":"2014"},{"year":"2025","key":"ref33","article-title":"Landsat-8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.jmi.6.1.014006"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"year":"2025","key":"ref37","article-title":"Arcgis pro 3.4 - how aspect works"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2024.01501121"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11273-009-9169-z"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/11141022.pdf?arnumber=11141022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T05:07:05Z","timestamp":1757567225000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11141022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3602630","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"type":"print","value":"1939-1404"},{"type":"electronic","value":"2151-1535"}],"subject":[],"published":{"date-parts":[[2025]]}}}