Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Emon Kumar Dey"'
Autor:
Debobrata Chakraborty, Emon Kumar Dey
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307138 (2024)
Semantic segmentation of urban areas using Light Detection and Ranging (LiDAR) point cloud data is challenging due to the complexity, outliers, and heterogeneous nature of the input point cloud data. The machine learning-based methods for segmenting
Externí odkaz:
https://doaj.org/article/84338555bc064fa19ae1798d19ad7112
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTThree-dimensional (3D) reconstruction of a building can be facilitated by correctly segmenting different feature points (e.g. in the form of boundary, fold edge, and planar points) over the building roof, and then, establishing relationships
Externí odkaz:
https://doaj.org/article/c900ad33764a4c27a4bf84525d3ace4a
Autor:
Emon Kumar Dey, Mohammad Awrangjeb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4030-4043 (2020)
Various methods for automatic building extraction from remote sensing data including light detection and ranging (LiDAR) data have been proposed over the last two decades but a standard metric for evaluation of the extracted building boundary has not
Externí odkaz:
https://doaj.org/article/f609dce68b8a4d478eccdadffa0c8640
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 430 (2022)
This paper suggests a new algorithm for automatic building point cloud filtering based on the Z coordinate histogram. This operation aims to select the roof class points from the building point cloud, and the suggested algorithm considers the general
Externí odkaz:
https://doaj.org/article/b48e0a0177a146b6a84804ec8e1396af
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1520 (2021)
Existing approaches that extract buildings from point cloud data do not select the appropriate neighbourhood for estimation of normals on individual points. However, the success of these approaches depends on correct estimation of the normal vector.
Externí odkaz:
https://doaj.org/article/8e1cc9e7f70c44eb90a837e22fb2790a
Publikováno v:
Computers, Vol 4, Iss 3, Pp 265-282 (2015)
Automatic identification of garment design class might play an important role in the garments and fashion industry. To achieve this, essential initial works are found in the literature. For example, construction of a garment database, automatic segme
Externí odkaz:
https://doaj.org/article/125e25926c1b4f689bb0f52f056bea9b
Autor:
Md. Atikur Rahman, Emon Kumar Dey
Publikováno v:
Data, Vol 3, Iss 2, p 15 (2018)
With the extensive growth of user interactions through prominent advances of the Web, sentiment analysis has obtained more focus from an academic and a commercial point of view. Recently, sentiment analysis in the Bangla language is progressively bei
Externí odkaz:
https://doaj.org/article/c00be28ebe77493898d5278e131532a5
Publikováno v:
International Journal of Remote Sensing. 41:6325-6354
Individual roof plane extraction from Light Detection and Ranging (LiDAR) point-cloud data is a complex and difficult task because of unknown semantic characteristics and inharmonious behaviour of ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc46410774003f75b60e3c57728e303
https://doi.org/10.1080/01431161.2020.1737339
https://doi.org/10.1080/01431161.2020.1737339
Autor:
Mohammad Awrangjeb, Emon Kumar Dey
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4030-4043 (2020)
Various methods for automatic building extraction from remote sensing data including light detection and ranging (LiDAR) data have been proposed over the last two decades but a standard metric for evaluation of the extracted building boundary has not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601c17b8b79d2571c6829bae64b3ba81
https://ieeexplore.ieee.org/document/9130865/
https://ieeexplore.ieee.org/document/9130865/
Publikováno v:
2021 Digital Image Computing: Techniques and Applications (DICTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43488d87d80f147ae291bb55f7e14c5b
https://doi.org/10.1109/dicta52665.2021.9647371
https://doi.org/10.1109/dicta52665.2021.9647371