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Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
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Moiz Hassan, Kandasamy Illanko and Xavier N. Fernando
Single Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques. SSIR has numerous applications in fields such as medical/sate...
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Yidi Wei, Yongcun Cheng, Xiaobin Yin, Qing Xu, Jiangchen Ke and Xueding Li
Detailed information about mangroves is crucial for ecological and environmental protection and sustainable development. It is difficult to capture small patches of mangroves from satellite images with relatively low to medium resolution. In this study, ...
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Qi Shi, Daheng Wang, Wen Chen, Jinpei Yu, Weiting Zhou, Jun Zou and Guangzu Liu
Satellite image compression technology plays an important role in the development of space science. As optical sensors on satellites become more sophisticated, high-resolution and high-fidelity satellite images will occupy more storage. This raises the r...
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Valdivino Alexandre de Santiago Júnior
Despite several solutions and experiments have been conducted recently addressing image super-resolution (SR), boosted by deep learning (DL), they do not usually design evaluations with high scaling factors. Moreover, the datasets are generally benchmark...
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Haïfa Ben-Romdhane, Diana Francis, Charfeddine Cherif, Kosmas Pavlopoulos, Hosni Ghedira and Steven Griffiths
In this paper, the feasibility of satellite remote sensing in detecting and predicting locations of buried objects in the archaeological site of Saruq Al-Hadid, United Arab Emirates (UAE) was investigated. Satellite-borne synthetic aperture radar (SAR) i...
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Osman Isa Çelik, Gürcan Büyüksalih and Cem Gazioglu
The spatial and spectral information brought by the Very High Resolution (VHR) and multispectral satellite images present an advantage for Satellite-Derived Bathymetry (SDB), especially in shallow-water environments with dense wave patterns. This work fo...
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Daniel F. Ryan, Sophie Musset, Hamish A. S. Reid, Säm Krucker, Andrea F. Battaglia, Eric Bréelle, Claude Chapron, Hannah Collier, Joel Dahlin, Carsten Denker, Ewan Dickson, Peter T. Gallagher, Iain Hannah, Natasha L. S. Jeffrey, Jana Ka?parová, Eduard Kontar, Philippe Laurent, Shane A. Maloney, Paolo Massa, Anna Maria Massone, Tomasz Mrozek, Damien Pailot, Melody Pallu, Melissa Pesce-Rollins, Michele Piana, Illya Plotnikov, Alexis Rouillard, Albert Y. Shih, David Smith, Marek Steslicki, Muriel Z. Stiefel, Alexander Warmuth, Meetu Verma, Astrid Veronig, Nicole Vilmer, Christian Vocks and Anna Volparaadd Show full author list remove Hide full author list
Models of particle acceleration in solar eruptive events suggest that roughly equal energy may go into accelerating electrons and ions. However, while previous solar X-ray spectroscopic imagers have transformed our understanding of electron acceleration,...
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Polina Lemenkova and Olivier Debeir
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to ap...
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Dionysios N. Apostolopoulos, Dionysios Giannikopoulos, Alexis Ramfos, Sara Faulwetter, Dionisios Panagiotaras, Konstantinos G. Nikolakopoulos and Pavlos Avramidis
The Kotychi Lagoon (western Peloponnese, Greece), together with other coastal wetlands such as Pappas, Prokopos and Lamia, is part of the wider area of the Strofylia Wetlands National Park and Protected Areas of Western Peloponnese, which has been protec...
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