Zobrazeno 1 - 10
of 120
pro vyhledávání: '"GeoTIFF"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTDiscrete Global Grid Systems (DGGSs) are an emerging Earth reference model that support the integration and analysis of remote sensing (RS) data. Grid modeling, sampling, quantization, and storage are the key points and difficulties of DGGS.
Externí odkaz:
https://doaj.org/article/2d0620fa42d146ae95a575cbc7fcbb75
Akademický článek
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Autor:
Fahmi Amhar, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, Shelvie Nidya Neyman, Anggrahito, Dadan Ramdani, Danang Jaya, Dewayany Sutrisno, Sandi Adhitya Kolopaking, Tia Rizka Nuzula Rachma, Murdaningsih
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 3, p 200 (2022)
This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of th
Externí odkaz:
https://doaj.org/article/22ccb71d0fb548aaa3c12a44bc511aee
Akademický článek
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Publikováno v:
Journal of Mechanical Engineering, Vol 68, Iss 1, Pp 81-88 (2018)
This paper deals with the possibility of creating a vehicle model using a hierarchy of neural networks. Based on this model, it is possible to build an optimization cycle that looks for parameters which are influencing the driving of vehicles along g
Externí odkaz:
https://doaj.org/article/a0d4ce0ca9b84bad9cb66e63678d4f31
A wide range of global public topography datasets circulates to service for various purposes. However, the variety of versions, sources, and formats can confuse users and lead to decrease of usage. Users typically require a single terrain model that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22f8e97d13c9835d8f215153e87047ac
Autor:
Kartau, Mariliis
Magistritöö Geodeesia, kinnisvara ja maakorralduse õppekaval Käesoleva töö eesmärgiks on hinnata aerolaserskanneerimise mõõtmise tulemusena saadud kõrgusmudeli täpsust GNSS-mõõdistusega saadud kõrgusmudeliga. Kõrgusmudelite võrdlemise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3875::7997cd53a5510ec791f33430b7e7c280
http://hdl.handle.net/10492/8314
http://hdl.handle.net/10492/8314
Autor:
Azienda Superelectric
Publikováno v:
Archeomatica, Vol 9, Iss 1 (2018)
Externí odkaz:
https://doaj.org/article/7bc61023a9b144c995aacfc95decee8e
Autor:
Marwan Mahmoud, Irfan Uddin, Mahmoud Ahmad Al-Khasawneh, Laith Abualigah, Ahmad M. Khasawneh, Syed Atif Ali Shah
Publikováno v:
Cluster Computing. 25:999-1013
Image encryption algorithms based on Chaotic approach are becoming increasingly popular for remotely sensed images using parallel techniques. It has been demonstrated that the most efficient image encryption algorithms are based on Chaos. Previous re
Autor:
Juepeng Zheng, Peng Gong, Xiaoxuan Liu, Bin Chen, Pengyu Hao, Qinchuan Xin, Haohuan Fu, Le Yu
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-9 (2021)
Scientific Data
Scientific Data
The cropping intensity has received growing concern in the agriculture field in applications such as harvest area research. Notwithstanding the significant amount of existing literature on local cropping intensities, research considering global datas