Results 41 to 50 of about 6,735 (51)

Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images

Reports on Geodesy and Geoinformatics
Mineral classification using hyperspectral imaging represents an essential field of research improving the understanding of geological compositions. This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic mineral ...
Attallah Youcef, Zigh Ehlem, Adda Ali Pacha   +2 more
doaj   +1 more source

Evaluating the performance of various models for deriving orthometricheights using Global Navigation Satellite System (GNSS) data

Nova Geodesia
Orthometric heights are vital for fields such as topographic mapping, construction, engineering, and geophysical studies. This study examines the performance of five Global Geopotential Models (GGMs) and Global Navigation Satellite System (GNSS) data in
Herbert TATA, Clementina Ajibola OLAOYE
doaj   +1 more source

Influence of geographical provenance, biostimulatory treatments and their interaction on the seed germination of Quercus robur L.

Nova Geodesia
The hereby research aimed to identify the influence of several biostimulants on the germination capacity of pedunculate oak (Quercus robur L.), with the goal of enhancing the germination process, which is fundamental for the conservation and development
Iulia Diana ARION, Alina M. TRUȚA, Florin A. REBREAN, Catalina DAN, Monica BOSCAIU, Florin IORAS, Irina M. MORAR   +6 more
doaj   +1 more source

Assessing Ground Displacement in Oran City, Algeria: A Comparative Analysis of PSInSAR, SBAS, and Combined Method

Geodetski Vestnik
Coastal cities are grappling with ground deformation, making monitoring the temporal evolution of ground subsidence crucial. Advanced interferometric techniques, such as PSInSAR and SBAS provide a pertinent mean to observe this phenomenon by supplying ...
Kamel Hasni, Bachir Gourine, Boudhane Boubaker, Slimani Mohammed El Amine   +3 more
doaj   +1 more source

On the combination of altimetry and tide gauge observations in the Norwegian coastal zone

Journal of Geodetic Science
We have, using altimetry observations, investigated the nature and magnitude of variations in the local mean dynamic topography (MDT) along the Norwegian coast. Following our findings, we argue that the MDT is well approximated by the nearest observation
Mysen Eirik, Breili Kristian
doaj   +1 more source

Revealing Potential Mineralization Zones Utilizing Landsat-9, ASTER and Airborne Radiometric Data at Elkharaza-Dara Area, North Eastern Desert, Egypt

Egyptian Journal of Remote Sensing and Space Sciences
The present work enhances mineral exploration in Egypt’s Eastern Desert by mapping lithological units and identifying hydrothermal alteration zones, potentially leading to the discovery of economically viable mineral deposits.
Mahmoud Abd El-Rahman Hegab, Islam Abou El Magd, Kareem Hamed Abd El Wahid   +2 more
doaj   +1 more source

Changes in land use/cover using geospatial techniques: A case study of Ramnagar town area, district Nainital, Uttarakhand, India

Egyptian Journal of Remote Sensing and Space Sciences, 2013
The present study illustrates an integrated approach of remote sensing and GIS (Geographical Information System), i.e., Geospatial techniques for assessment of land use/cover dynamics of a town located in the foothill zone of the Uttarakhand State viz ...
J.S. Rawat, Vivekanand Biswas, Manish Kumar   +2 more
doaj   +1 more source

Efficient bundle optimization for accurate camera pose estimation in mobile augmented reality systems

Egyptian Journal of Remote Sensing and Space Sciences
Augmented reality has a long research history in computer vision and computer graphics communities. It aims to enhance the user experience for real scenes via overlapping virtual objects.
Shanglin Li, Yalan Li, Yulin Lan, Anping Lin   +3 more
doaj   +1 more source

Evaluation of Machine Learning algorithm’s selection criteria for satellite image classification, Leveraging accuracy and execution times

Egyptian Journal of Remote Sensing and Space Sciences
Assessing the effectiveness of Machine Learning algorithms for a particular application is essential for establishing selection criteria. This study presents a new evaluation metric, execution time, which improves the algorithm selection process for a ...
Amani Sanga, Varga Zsófia
doaj   +1 more source

Development and evolution of height systems in the context of SIRGAS: From the local vertical data to the International height reference frame

Journal of Geodetic Science
Inoue Mariana, Guimarães Gabriel
doaj   +1 more source