Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Poliyapram Vinayaraj"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6352-6361 (2020)
Water/ice/land region segmentation is an important task for remote sensing, as it analyses the occurrence of water or ice on the earth's surface. Many previous deep learning researches effectively utilized multispectral satellite images for highly ac
Externí odkaz:
https://doaj.org/article/d60612a9a4f644d394fc8f73e9b3df45
Publikováno v:
Sensors, Vol 18, Iss 12, p 4333 (2018)
Land cover classification and investigation of temporal changes are considered to be common applications of remote sensing. Water/non-water region estimation is one of the most fundamental classification tasks, analyzing the occurrence of water on th
Externí odkaz:
https://doaj.org/article/cc6129d0f7334b7294a54102ff8ec9bd
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37c74fc135b9c8fb69470c96b0648931
https://doi.org/10.1109/igarss46834.2022.9883467
https://doi.org/10.1109/igarss46834.2022.9883467
Publikováno v:
Geoinformatics. 31:67-78
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26913c8cd7d66b48120a3018f11188c2
https://doi.org/10.6010/geoinformatics.31.3_67
https://doi.org/10.6010/geoinformatics.31.3_67
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6352-6361 (2020)
Water/ice/land region segmentation is an important task for remote sensing, as it analyses the occurrence of water or ice on the earth's surface. Many previous deep learning researches effectively utilized multispectral satellite images for highly ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f2ce3b4e74bd4960ac873933a7c07f7
https://ieeexplore.ieee.org/document/9224151/
https://ieeexplore.ieee.org/document/9224151/
Akademický článek
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Akademický článek
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Publikováno v:
KST
Point cloud is a set of points in 3D space, typically produced by a 3D scanner to capture the 3D representation of a scene. Semantic segmentation of 3D point cloud data where each point is assigned with a semantic class such as building, road, water
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea9ab1842210608cb4356b83c04efc4
https://doi.org/10.1109/kst.2019.8687813
https://doi.org/10.1109/kst.2019.8687813
Publikováno v:
Marine Geodesy. 39:458-478
The common practice adopted in previous attempts on Satellite-Derived Bathymetry (SDB) has been to calibrate a single set of coefficients using global regression model. In this study we propose an Adaptive-Geographically Weighted Regression (A-GWR) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1c76d76145fce933ceb10efe14189e
https://doi.org/10.1080/01490419.2016.1245227
https://doi.org/10.1080/01490419.2016.1245227
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 12, p 4333 (2018)
Sensors
Volume 18
Issue 12
Sensors, Vol 18, Iss 12, p 4333 (2018)
Sensors
Volume 18
Issue 12
Land cover classification and investigation of temporal changes are considered to be common applications of remote sensing. Water/non-water region estimation is one of the most fundamental classification tasks, analyzing the occurrence of water on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f81625e9c26e59b5e049e8cb23bc2768
https://pubmed.ncbi.nlm.nih.gov/30544609
https://pubmed.ncbi.nlm.nih.gov/30544609