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Viktoriya Tsyganskaya, Sandro Martinis and Philip Marzahn
Synthetic Aperture Radar (SAR) is particularly suitable for large-scale mapping of inundations, as this tool allows data acquisition regardless of illumination and weather conditions. Precise information about the flood extent is an essential foundation ...
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Yisu Zhang, Kai Wang, Wei Yue, Shuangkui Liu, Jieling Yu and Xin Ye
Underwater spectral detection plays an important role in the study of the underwater environment, ecology, oceanography, and environmental monitoring. A kind of underwater spectral radiometer that can observe the distribution of underwater spectral radia...
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Zhou Fang, Xiaoyong Wang, Liang Zhang and Bo Jiang
Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale targets remains a significant challenge. Considering the diverse scenes, varied scales, and complex backgrounds...
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Sellaperumal Pazhanivelan, N. S. Sudarmanian, Vellingiri Geethalakshmi, Murugesan Deiveegan, Kaliaperumal Ragunath, A. P. Sivamurugan and P. Shanmugapriya
Synthetic aperture radar (SAR) imagery, notably Sentinel-1A?s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. Employing multi-temporal characteristi...
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Maged Abdullah Esmail
The demand for network capacity has increased due to the introduction of new digital applications and services, which rely heavily on optical communication networks. While fiber networks serve as the optical networks? backbone, deploying fiber in certain...
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Jinjun Li, Zhihao He, Chunde Piao, Weiqi Chi and Yi Lu
The development height and settlement prediction of water-conducting fracture zones caused by coal seam mining play an important role in the stability of overburden aquifers and the safety of roadways. Based on the engineering geological data of the J60 ...
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Jakub Langhammer, Theodora Lendzioch and Jakub ?olc
The detection and mapping of riverscapes with Unmanned Aerial Vehicles (UAVs, drones) provide detailed, reliable, and operable spatial information in hydrological sciences, enhancing conventional field survey techniques. In this study, we present the res...
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Maria Roldan and Panicos A. Kyriacou
(1) Background: Traumatic brain injuries (TBI) result in high fatality and lifelong disability rates. Two of the primary biomarkers in assessing TBI are intracranial pressure (ICP) and brain oxygenation. Both are assessed using standalone techniques, out...
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Ali Mekhtiyev, Yelena Neshina, Aliya Alkina, Vyacheslav Yugay, Valeriy Kalytka, Yermek Sarsikeyev and Lalita Kirichenko
This paper presents the results of complex scientific research aimed at developing a prototype fiber-optic system for controlling the technical condition of buildings, structures, and extended objects. The aim is to develop a quasi-distributed type of fi...
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Jieyu Liang, Chao Ren, Yi Li, Weiting Yue, Zhenkui Wei, Xiaohui Song, Xudong Zhang, Anchao Yin and Xiaoqi Lin
Normalized difference vegetation index (NDVI) time series data, derived from optical images, play a crucial role for crop mapping and growth monitoring. Nevertheless, optical images frequently exhibit spatial and temporal discontinuities due to cloudy an...
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