Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Muhammed Enes Atik"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5834-5846 (2024)
Point clouds are one of the most widely used data sources for spatial modeling. Artificial intelligence approaches have become an important tool for understanding and extracting semantic information of point clouds. In particular, the explainability
Externí odkaz:
https://doaj.org/article/914a0cbc38c745fbaea00624793beaa7
Publikováno v:
Drones, Vol 8, Iss 8, p 376 (2024)
The integration of technological advancements has significantly impacted artificial intelligence (AI), enhancing the reliability of AI model outputs. This progress has led to the widespread utilization of AI across various sectors, including automoti
Externí odkaz:
https://doaj.org/article/71e06213ffea4dde9d4514246f3c9de5
Autor:
Muhammed Enes Atik, Zaide Duran
Publikováno v:
Sensors, Vol 22, Iss 16, p 6210 (2022)
Mobile light detection and ranging (LiDAR) sensor point clouds are used in many fields such as road network management, architecture and urban planning, and 3D High Definition (HD) city maps for autonomous vehicles. Semantic segmentation of mobile po
Externí odkaz:
https://doaj.org/article/b00ce5f940814bb7b458834f442191a1
Publikováno v:
Drones, Vol 5, Iss 4, p 104 (2021)
With the development of photogrammetry technologies, point clouds have found a wide range of use in academic and commercial areas. This situation has made it essential to extract information from point clouds. In particular, artificial intelligence a
Externí odkaz:
https://doaj.org/article/a263ac7a0e1f477c82f632028f451c3c
Machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p 187 (2021)
3D scene classification has become an important research field in photogrammetry, remote sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point cloud classification, called semantic labeling, semantic segmentation,
Externí odkaz:
https://doaj.org/article/a7f5ac4ad40c4c07b1548e55a34067cc
Publikováno v:
Sustainability; Volume 15; Issue 11; Pages: 8979
The Sustainable Development Goals (SDGs) have addressed environmental and social issues in cities, such as insecure land tenure, climate change, and vulnerability to natural disasters. SDGs have motivated authorities to adopt urban land policies that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::e3d05fe36c79f5280ef35b2267b8de0a
Publikováno v:
Journal of Geodesy and Geoinformation. 9:137-149
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84a9ccd7b5d0d7bd93dedf4acefd4e4d
https://doi.org/10.9733/jgg.2022r0010.t
https://doi.org/10.9733/jgg.2022r0010.t
Autor:
Zaide Duran, Muhammed Enes Atik
Publikováno v:
Electronics; Volume 11; Issue 20; Pages: 3310
Semantic segmentation of mobile LiDAR point clouds is an essential task in many fields such as road network management, mapping, urban planning, and 3D High Definition (HD) city maps for autonomous vehicles. This study presents an approach to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a61c0dd150e4a8d65b0fb6fd054dfe84
Autor:
Muhammed Enes Atik, Zaide Duran
Publikováno v:
Volume: 6, Issue: 2 74-80
International Journal of Engineering and Geosciences
International Journal of Engineering and Geosciences
The integration of computer vision algorithms and photogrammetric methods leads to procedures that increasingly automate the image-based 3D modeling process. The main objective of photogrammetry is to obtain a three-dimensional model using terrestria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c97d97baca0272e5226501ede90b8249
https://doi.org/10.26833/ijeg.691696
https://doi.org/10.26833/ijeg.691696
Autor:
Zaide Duran, Muhammed Enes Atik
Publikováno v:
Sensors; Volume 22; Issue 16; Pages: 6210
Mobile light detection and ranging (LiDAR) sensor point clouds are used in many fields such as road network management, architecture and urban planning, and 3D High Definition (HD) city maps for autonomous vehicles. Semantic segmentation of mobile po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ff7e92f350b935c0e8d4f3c77b2947e