Blar i NTNU Open på forfatter "Fan, Hongchao"
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Reconstructing facade semantic models using hierarchical topological graphs
Wang, Yuefeng; Fan, Hongchao; Zhou, Guoqing (Peer reviewed; Journal article, 2020)Semantic information in 3D building models is of vital importance for various applications in terms of smart cities. To infer the semantic information and localize the components on building facades, this article proposes ... -
Reconstruction of 3D Building Models with Semantic Information Using Crowdsourcing Approaches
Zhang, Chaoquan (Doctoral theses at NTNU;2023:396, Doctoral thesis, 2023)Over the last decade, increasing municipalities have decided to gear up the construction of smart cities. The transformation to a smart city requires to digitalize the whole city as faithfully as possible. To accomplish ... -
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
Dong, Zhen; Liang, Fuxun; Yang, Bisheng; Xu, Yusheng; Zang, Yufu; Li, Jianping; Wang, Xuan; Dai, Wenxia; Fan, Hongchao; Hyyppä, Juha; Stilla, Uwe (Peer reviewed; Journal article, 2020)This study had two main aims: (1) to provide a comprehensive review of terrestrial laser scanner (TLS) point cloud registration methods and a better understanding of their strengths and weaknesses; and (2) to provide a ... -
Room semantics inference using random forest and relational graph convolutional networks: A case study of research building
Hu, Xuke; Fan, Hongchao; Noskov, Alexey; Wang, Zhiyong; Zipf, Alexander; Gu, Fuqiang; Shang, Jianga (Peer reviewed; Journal article, 2020)Semantically rich maps are the foundation of indoor location-based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., ... -
Sea Ice Segmentation in Sentinel-1 Imagery using a Convolutional Neural Network
Ledsaak, Sigrid Marie Eie; Brask, Nora Strømberg (Master thesis, 2021)Den Arktiske havisen er avgjørende for det globale miljøet og representerer en betydelig utfordring for navigering i polare områder. Derfor har overvåking av havis blitt et viktig ansvar for statene som ligger innenfor ... -
Sea Ice Segmentation in Sentinel-1 Imagery using a Convolutional Neural Network
Ledsaak, Sigrid Marie Eie; Brask, Nora Strømberg (Master thesis, 2021)Den Arktiske havisen er avgjørende for det globale miljøet og representerer en betydelig utfordring for navigering i polare områder. Derfor har overvåking av havis blitt et viktig ansvar for statene som ligger innenfor ... -
Segmentation of Large Point Clouds for Forestry Purposes
Deisz, Sindre Østgulen (Master thesis, 2020)Lidardata har fått større og større oppmerksomhet inenfor skogdrift de siste årene. Mesteparten av lidar i skogdrift kommer fra luftbåren lidardata som gir en overordnet fremstilling av skogens attributter. Luftbåren ... -
Solar energy digitalization at high latitudes: A model chain combining solar irradiation models, a LiDAR scanner, and high-detail 3D building model
Manni, Mattia; Nocente, Alessandro; Kong, Gefei; Skeie, Kristian Stenerud; Fan, Hongchao; Lobaccaro, Gabriele (Peer reviewed; Journal article, 2022)Solar mapping can contribute to exploiting more efficiently the solar energy potential in cities. Solar maps and 3D solar cadasters consist of visualization tools for solar irradiation analysis on urban surfaces (i.e., ... -
Synthetic Aperture Radar backscatter for automated delineation of the Disko Island glaciers
Jonat, Galina Valeska (Master thesis, 2020)Breer er sensitive indikatorer på klimaendringer og utgjør den største samling fer- skvann på Jorda. På grunn av isbreenes direkte respons til små forandringer i kli- masystemet har breene fått mye oppmerksomhet de siste ... -
The State of Mapillary: An Exploratory Analysis
Ma, Dawei; Fan, Hongchao; Li, Wenwen; Ding, Xuan (Journal article; Peer reviewed, 2019)As the world’s largest crowdsourcing-based street view platform, Mapillary has received considerable attention in both research and practical applications. By February 2019, more than 20,000 users worldwide contributed ... -
Towards creating a map layer of road intersections by information extraction from Mapillary images
Saastad, Kristoffer (Master thesis, 2020)Geografisk data er viktig for å forstå romlige relasjoner. Mange av dagens open-source databaser for GPS og romlige spørringer inneholder lite, til ingen data om den romlige konteksten i vegkryss. Ved å øke informasjonen ... -
Towards generating network of bikeways from Mapillary data
Ding, Xuan; Fan, Hongchao; Gong, Jianya (Peer reviewed; Journal article, 2021)Nowadays, biking is flourishing in many Western cities. While many roads are used for both cars and bicycles, buffered bike lanes are marked for the safety of cyclists. In many cities, segregated paths are built up to have ... -
Towards Improved Sheep Roundup - Using Deep Learning-Based Detection on MultiChannel RGB and Infrared UAV Imagery
Johannessen, Kari Meling (Master thesis, 2020)Hvert år slippes cirka 2,1 millioner sauer for å beite fritt i store, skogkledde og fjellrike områder i hele Norge. På slutten av beitesesongen må bøndene finne og samle inn sauene sine. Dette kan være en tidkrevende og ... -
Towards measuring shape similarity of polygons based on multiscale features and grid context descriptors
Fan, Hongchao; Zhao, Zhiyao; Li, Wenwen (Journal article; Peer reviewed, 2021) -
TR3DRoofs: A Urban Roof Datase - A New Dataset for Deep Learning-based Segmentation of Roof Structures in LiDAR Point Clouds
Orre, Marie Ting Falch; Mo, Vilde Myren (Master thesis, 2021)Stadig blir behovet for tiltak for å redusere effekten av klimaendringene mer kritisk. Ved å fremme bruken av fornybar energi, kan man sørge for opptil 90% av CO2 reduksjonene som behøves innen 2050. Betydningen av 3D data ... -
TR3DRoofs: A Urban Roof Dataset - A New Dataset for Deep Learning-based Segmentation of Roof Structures in LiDAR Point Clouds
Mo, Vilde Myren; Orre, Marie Ting Falch (Master thesis, 2021)Stadig blir behovet for tiltak for å redusere effekten av klimaendringene mer kritisk. Ved å fremme bruken av fornybar energi, kan man sørge for opptil 90% av CO2 reduksjonene som behøves innen 2050. Betydningen av 3D data ... -
Traffic usage analysis of road intersections using floating car data
Witsø, Harald; Jeyamenan, Sarun (Master thesis, 2023)Økningen i urbanisering og behovet for effektive veinett har økt etterspørselen etter innovative løsninger innen landbruksutnyttelse og trafikkanalyse. Presis identifisering av veikryss og klassifisering av veikrysstyper ... -
Traffic usage analysis of road intersections using floating car data
Witsø, Harald; Jeyamenan, Sarun (Master thesis, 2023)Økningen i urbanisering og behovet for effektive veinett har økt etterspørselen etter innovative løsninger innen landbruksutnyttelse og trafikkanalyse. Presis identifisering av veikryss og klassifisering av veikrysstyper ... -
A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds
Chang, Lihong; Fan, Hongchao; Zhu, Ningning; Dong, Zhen (Peer reviewed; Journal article, 2022)Individual tree segmentation in forest scenes provides a foundation for forest ecosystem modeling and biodiversity assessment applications. Existing approaches work well for cases where trees do not grow in layers. However, ... -
Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience
Yan, Yingwei; Feng, Chen-Chieh; Huang, Wei; Fan, Hongchao; Wang, Yi-Chen; Zipf, Alexander (Peer reviewed; Journal article, 2020)More than 10 years have passed since the coining of the term volunteered geographic information (VGI) in 2007. This article presents the results of a review of the literature concerning VGI. A total of 346 articles published ...