Zobrazeno 1 - 10
of 28
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.
Publikováno v:
Geoinformatics. 31:67-78
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
Publikováno v:
IGARSS
This paper presents a density enhancement method for airborne LiDAR point cloud with the corresponding image based on a fused Encoder-Decoder network. Different from terrestrial indoor or outdoor scenes, the variance of objects and depth ranges in th
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
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
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
Publikováno v:
IGARSS
Land cover types classification and investigating the temporal changes are considered as the common application of remote sensing. Water body classification is one of the most basic classification tasks which analyze the occurrence of water on the ea