Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques by Payam Sajadi, Mehdi Gholamnia, Stefania Bonafoni, Gerald Mills, Yan-Fang Sang, Zeting Li, Salman Khan, Jiazheng Han, Francesco Pilla

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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…Our results show that the SAC algorithm achieves faster convergence speed and better solutions than existing state-of-the-art methods, such as the twin delayed deep deterministic policy gradient (TD3) and the deep deterministic policy gradient (DDPG) algorithms. …”
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Ice Thickness Detection of Transmission Lines Based on Cross-Guide-UNet by Yu Zhang, Yangyang Jiao, Yinke Dou, Liangliang Zhao, Qiang Liu, Yang Liu

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CSL-SFNet for Cooperative Spectrum Sensing in Cognitive Satellite Network with GEO and LEO Satellites by Kai Yang, Shengbo Hu, Xin Zhang, Tingting Yan, Manqin Zhu

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A Study on Vector-Based Processing and Texture Application Techniques for 3D Object Creation and Visualization by Donghwi Kang, Jeongyeon Kim, Jongchan Lee, Haeju Lee, Jihyeok Kim, Jungwon Byun

“…In this research, data weight reduction, parallel processing, and polygon simplification algorithms were applied to optimize the 3D model generation speed. …”
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Simulating Co-Evolution and Knowledge Transfer in Logistic Clusters Using a Multi-Agent-Based Approach by Aitor Salas-Peña, Juan Carlos García-Palomares

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DSiam-CnK: A CBAM- and KCF-Enabled Deep Siamese Region Proposal Network for Human Tracking in Dynamic and Occluded Scenes by Xiangpeng Liu, Jianjiao Han, Yulin Peng, Qiao Liang, Kang An, Fengqin He, Yuhua Cheng

“…To tackle these issues, this study enhances the SiamRPN algorithm by integrating the convolutional block attention module (CBAM), which enhances spatial channel attention. …”
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ST-YOLO: a deep learning based intelligent identification model for salt tolerance of wild rice seedlings by Qiong Yao, Qiong Yao, Pan Pan, Pan Pan, Xiaoming Zheng, Xiaoming Zheng, Guomin Zhou, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…The traditional methods demonstrate insufficient ability to detect the complex spatial-temporal connections between various clinical data types which highlights the need for advanced computational approaches. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…This research proposes an innovative hybrid approach to enhance the retrieval of remotely sensed images. …”
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Power Line Polarimetric Imaging by Helicopter Radars: Modeling and Experimental Validation by Masha Bortsova, Hlib Cherepnin, Volodymyr Kosharskyi, Volodymyr Ponomaryov, Anatoliy Popov, Sergiy Sadovnychiy, Beatriz Garcia-Salgado, Eduard Tserne

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The Contribution of Meteosat Third Generation–Flexible Combined Imager (MTG-FCI) Observations to the Monitoring of Thermal Volcanic Activity: The Mount Etna (Italy) February–March... by Carolina Filizzola, Giuseppe Mazzeo, Francesco Marchese, Carla Pietrapertosa, Nicola Pergola

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Forest aboveground carbon storage estimation and uncertainty analysis by coupled multi-source remote sensing data in Liaoning Province by Hancong Fu, Hengqian Zhao, Ge Liu, Yujiao Zhang, Xiadan Huangfu, Jinbao Jiang

“…While satellite sensors offer extensive spatial and temporal coverage, their low spatial resolution often introduces significant errors when ground measurements are directly matched with satellite image pixels. …”
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A scalable framework for soil property mapping tested across a highly diverse tropical data-scarce regionZENODO by Rodrigo de Q. Miranda, Rodolfo L.B. Nóbrega, Anne Verhoef, Estevão L.R. da Silva, Jadson F. da Silva, José C. de Araújo Filho, Magna S.B. de Moura, Alexandre H.C. Barros, Alzira G.S.S. Souza, Wanhong Yang, Hui Shao, Raghavan Srinivasan, Feras Ziadat, Suzana M.G.L. Montenegro, Maria do S.B. Araújo, Josiclêda D. Galvíncio

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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection by Jie Liu, Shuaishuai Liu, Zhendong He, Yanqiu Xiao, Guangzhen Cui, Pengpeng Wang

“…This strategy is founded on the constant diameter of the bolt head’s circular form, facilitating the determination of the bolt’s spatial orientation without the need for additional height measurements. …”
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Collapse Hotspot Detection in Urban Area Using Sentinel-1 and TerraSAR-X Dataset with SBAS and PSI Techniques by Niloofar Alizadeh, Yasser Maghsoudi, Tayebe Managhebi, Saeed Azadnejad

“…In the second phase, this research incorporated an additional dataset of 36 TerraSAR-X images alongside the Sentinel-1 data to compare results based on radar images with different spatial resolutions in the C and X bands. …”
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A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

“…Furthermore, this study significantly expands the application potential of SAR data in soil salinization research.…”
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INTEGRATED ASSESSMENT AND MAPPING OF ANTHROPOGENIC IMPACT ON THE NATURAL ENVIRONMENT OF RUSSIAN REGIONS by V. S. Tikunov, S. K. Belousov

“…Based on the obtained set of indicators for the study, a two-stage evaluation algorithm developed by one of the authors was chosen [Tikunov, 1997]. …”
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Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid by Francisco Molero, Pedro Salvador, Manuel Pujadas

“…A particular type of lidar, the ceilometer, has demonstrated continuous measurement capabilities, providing vertical profiles with sub-minute time resolution and several-meter spatial resolution. Advanced methods, such as the recently developed STRATfinder algorithm, are required to estimate the ABL height in the presence of residual layers. …”
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Statistical estimation of regional differences in regions of the Russian Federation in terms of educational potential of young generations by O. V. Potasheva, M. V. Moroshkina

“…The space-time base of the results of population censuses  in Russia in 2002 and 2010 by territorial regions of the Russian  Federation, characterizing generational and age structure of youth by the level of the achieved education was collected and statistically  processed for the research. As the part of the presentation of this  paper, the authors proposed an algorithm for comparative analysis of the educational potential of young people by regions of the Russian  Federation and a typological grouping was carried out. …”
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