Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Manisha Das Chaity"'
Publikováno v:
IET Image Processing, Vol 18, Iss 1, Pp 265-279 (2024)
Abstract The extraction of road networks is a critical activity in contemporary transportation networks. Deep neural networks have recently demonstrated excellent performance in the field of road segmentation. However, most of the convolutional neura
Externí odkaz:
https://doaj.org/article/16806983b2aa42938ad0af3aa3230551
Autor:
Manisha Das Chaity, Jan van Aardt
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 498 (2024)
Imaging spectroscopy (hyperspectral sensing) is a proven tool for mapping and monitoring the spatial distribution of vegetation species composition. However, there exists a gap when it comes to the availability of high-resolution spatial and spectral
Externí odkaz:
https://doaj.org/article/6ffa72d6a4424de9ab763995be319b72
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1538 (2021)
The objective of this paper is to find an empirical hyperspectral absolute calibration model using Libya 4 pseudo invariant calibration site (PICS). The approach involves using the Landsat 8 (L8) Operational Land Imager (OLI) as the reference radiome
Externí odkaz:
https://doaj.org/article/83608abc7d4d40a8abca9e35d01e562f
Publikováno v:
2017 4th International Conference on Advances in Electrical Engineering (ICAEE).
One of the major challenges in long reach passive optical network (LR-PON) is the longer end-to-end traffic delay between the central office (CO) and the end user. This longer delay significantly hampers the quality of services (QoSs) of the optical