An Experimental Study of a New Keypoint Matching Algorithm for Automatic Point Cloud Registration

Autor: Ramazan Alper Kuçak, Serdar Erol, Bihter Erol

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 4, p 204 (2021)

Light detection and ranging (LiDAR) data systems mounted on a moving or stationary platform provide 3D point cloud data for various purposes. In applications where the interested area or object needs to be measured twice or more with a shift, precise

Externí odkaz: https://doaj.org/article/22210b140d3d4b1597a5fb013c448098

Google Earth Pro Verilerinden Oluşturulan Sayısal Yükseklik Modelleri ve Global Sayısal Yükseklik Modellerinin Doğruluk Değerlendirmesi

Autor: Mahmut Oğuz Selbesoğlu, Ramazan Alper Kuçak, Şaziye Özge Atik, Adalet Dervisoglu

Publikováno v: Volume: 21, Issue: 5 1125-1136
Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi

Farklı ölçme ve uzaktan algılama teknikleri ile elde edilen verilerden üretilen Sayısal Yükseklik Modelleri (SYM) verileri yükseklik bilgisi gerektiren birçok uygulamada kullanılmaktadır. LIDAR (Light Detection and Ranging) teknolojisinin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::347e8092dc833b7a8f0b6955bf7921fe
https://doi.org/10.35414/akufemubid.936431

Utilizing Airborne LiDAR and UAV Photogrammetry Techniques in Local Geoid Model Determination and Validation

Autor: Ramazan Alper Kuçak, Emrah Özögel, Serdar Erol, Bihter Erol

Publikováno v: ISPRS International Journal of Geo-Information, Vol 9, Iss 528, p 528 (2020)
ISPRS International Journal of Geo-Information
Volume 9
Issue 9

This investigation evaluates the performance of digital terrain models (DTMs) generated in different vertical datums by aerial LiDAR and unmanned aerial vehicle (UAV) photogrammetry techniques, for the determination and validation of local geoid mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a316b9f8d7373b2c78d6fef6456ea3
https://www.mdpi.com/2220-9964/9/9/528

THE SEGMENTATION OF POINT CLOUDS WITH K-MEANS AND ANN (ARTIFICAL NEURAL NETWORK)

Autor: Ramazan Alper Kuçak, E. Özdemir, Serdar Erol

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 595-598 (2017)

Segmentation of point clouds is recently used in many Geomatics Engineering applications such as the building extraction in urban areas, Digital Terrain Model (DTM) generation and the road or urban furniture extraction. Segmentation is a process of d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed2322bbb67247d9c638ff2db60d1ea5
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/595/2017/

The Prediction of Nonlinear Polar Motion Based on Artificial Neural Network (ANN) and Fuzzy Inference System (FIS)

Autor: Ramazan Alper Kuçak, Raşit Uluğ, Orhan Akyilmaz

Publikováno v: Advances in Nonlinear Geosciences ISBN: 9783319588940

The Earth rotation movement characterizes the situation of the whole Earth movement, as well as the interaction between the Earth’s various layers such as the Earth’s core, mantle, crust, and atmosphere. Prediction of the Earth rotation parameter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7437c7852fbeab6f2e5b47da3af7c32e
https://doi.org/10.1007/978-3-319-58895-7_16