Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Abdullah H. Ozcan"'
Autor:
Volkan Ozdemir, Oguzhan Urhan, Murat Ozgen, Anil Caliskan, Abdullah H. Ozcan, Rumeysa Elioz, Huseyin Kara
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
SIU
In this study, the issue of intent classification in frequently asked questions for chatbots is discussed. There are many studies on this subject. However, most of the studies were conducted for the English language, and the issue of improving the in
Autor:
Cem Unsalan, Abdullah H. Ozcan
Remote sensing mainly focuses on information extraction from data acquired by sensors on satellite and aerial platforms. Here, one such area of interest is ground object detection and shape extraction. Recently launched satellites and conventional ae
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f72ac39a1d69409ca842fa6bf899fb34
https://aperta.ulakbim.gov.tr/record/3311
https://aperta.ulakbim.gov.tr/record/3311
Autor:
Cem Unsalan, Abdullah H. Ozcan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:360-371
LiDAR technology is advancing. As a result, researchers can benefit from high-resolution height data from Earth's surface. Digital terrain model (DTM) generation and point classification (filtering) are two important problems for LiDAR data. These ar
Automated digital terrain model (DTM) generation from remotely sensed data has gained wide application areas due to increased sensor resolution. In this study, a novel ground filtering and segmentation method is proposed for digital surface model (DS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8552729bd8d984f71f8e04b3e44bcaf9
https://elib.dlr.de/119397/
https://elib.dlr.de/119397/
Crop yield forecasting in a region has become an important research area due to global warming and related climate changes. Although this can be performed by available statistical information, obtaining recent and up to date data to extract reliable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11ee502280e7d6d003342c4c9422d33f
https://aperta.ulakbim.gov.tr/record/44301
https://aperta.ulakbim.gov.tr/record/44301
Publikováno v:
SIU
As satellite images cover wide areas and obtaining them has become easier, using these images in agriculture has become an important research area. Especially, satellite images can be used in seasonal crop estimation. Obtaining the number of trees in
Autor:
Cem Unsalan, Abdullah H. Ozcan
Publikováno v:
SIU
Automated object detection in remotely sensed data has gained wide application areas due to increased sensor resolution. In this study, we propose a novel building detection method using high resolution DSM data and true orthophoto image. In the prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad5630433bbb47983eaa8b786f7211da
https://hdl.handle.net/20.500.11831/7416
https://hdl.handle.net/20.500.11831/7416
Publikováno v:
2015 7th International Conference on Recent Advances in Space Technologies (RAST).
As satellite images cover wide areas and obtaining them has become easier, using these images in agriculture has become an important research area. Especially, satellite images can be used in seasonal crop estimation. In this study, we focused on cro
Autor:
Abdullah H. Ozcan, Cem Unsalan
Publikováno v:
SIU
Automatic extraction of bare-Earth LiDAR points to generate Digital Terrain Model (DTM) is still an ongoing problem. Even though there are several methods for ground filtering, automatic and adaptive methods are still a need due to the complexity of