Comparative Analysis of Multi-Resolution Remote Sensing Data for Accurate Road Segmentation in Urban Environments by M. R. Çevikalp, B. Mutlu, M. Yanalak, N. Musaoğlu

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Night and Day Aerial Photogrammetry by L. Morelli, G. Perda, S. Malek, F. Remondino, K. Legat

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Generating Training Data for Deep Learning-Based Segmentation Algorithms by Projecting Existing Labels onto Additional Aerial Images by F. Kurz, N. Merkle, C. Henry, R. Bahmanyar, F. Rauch, J. Hellekes, V. Gstaiger, D. Rosenbaum, P. Reinartz

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Fine-grained individual tree crown segmentation based on high-resolution images by Y. Wang, X. Dou, X. Liang

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Automated detection and structuration of building and vegetation changes from LiDAR point clouds by A. Kharroubi, Z. Ballouch, Z. Ballouch, I. Jeddoub, R. Hajji, R. Billen

“…Accurate, up-to-date information on these changes is critical, particularly for national mapping agencies monitoring long-term urban development. …”
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Digital Twins and CFD simulations for accurate sensor positioning by O. Roman, O. Roman, M. Bassier, S. Ricciuti, E. M. Farella, F. Remondino, D. Viesi

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Luminaire Detection through Brightness Enhanced Mask R-CNN in Tunnel Environment by B. Xu, L. Liu, L. Liu, X. Qin, X. Qin, L. Xie, L. Xie

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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

“…In the encoding stage, the method aggregates node information in a spatiotemporal conditional graph using GCN and LSTM, encoding location-specific spatiotemporal heterogeneity as an implicit conditional vector. …”
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Segment Anything Model with LiDAR based images for building segmentation in forest areas by E. Hattula, J. Raninen, L. Zhu

“…Its performance is compared against the U-Net neural network (Ronneberger et al. 2015), which utilizes the same multi-modal data. …”
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Analyzing Post-fire Vegetation Dynamics with Ultra-high Resolution Remote Sensing Data by O. Petrov, O. Petrov, A. Medvedev

“…Monitoring post-fire vegetation dynamics is essential for understanding forest recovery processes and informing management strategies. UAV-based ultra-high resolution multi-temporal imagery, combined with the Structure-from-Motion andMulti-View Stereo (SfM-MVS) workflow, provides a cost-effective and scalable solution for forest monitoring. …”
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Estimating Atmospheric Forest Carbon Loss in East Baton Rouge Parish Using Satellite Remote Sensing: A Critical Tool for Climate Change Mitigation by P. M. Loh, Y. A. Twumasi, Z. H. Ning, R. N. D. Armah, J. D. Osei, E. Dadzie, D. T. Gyan

“…By employing Sentinel satellite data, the Gross Primary Productivity (GPP) of the forested areas will be obtained using the Normalized Difference Vegetation Index (NDVI), Photosynthetically Active Radiation (PAR), and Light Use Efficiency. The Net Primary Productivity (NPP) will then be estimated by subtracting Autotrophic Respiration from the GPP to determine the overall carbon balance of the forests. …”
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Synergistic use of ground-based multi-instrument platforms and satellite recordings to investigate the aerosol-cloud-dynamic interaction in Cyprus by H. Panahifar, M. Poutli, M. Poutli, G. Kotsias, A. Nisantzi, A. Nisantzi, S. Michaelides, D. Hadjimitsis, D. Hadjimitsis, P. Seifert, A. Ansmann, R.-E. Mamouri, R.-E. Mamouri

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Real-Time Landform Feature Detection and Segmentation Based on Heterogeneous MPSoCs for Lunar Robotic Exploration by Q. Fan, R. Duan, B. Wu, H. Zhou, S. Zhang, Y. Ma

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Variability of Hydro-Meteorological Fluxes in North West Himalayan Basins for Hydrological and Sustainability Studies by Rachit, A. Masiwal, S. Singla, G. Singhal, P. K. Thakur, V. Garg, S. Romshoo, S. Romshoo

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A survey on AI-enabled mobility and handover management in future wireless networks: key technologies, use cases, and challenges by Yasir Ullah, Mardeni Roslee, Sufian Mousa Mitani, Muhammad Sheraz, Farman Ali, Khursheed Aurangzeb, Anwar Faizd Osman, Fatimah Zaharah Ali

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MPMFFT based DCA-DBT integrated probabilistic model for face expression classification by Kapil Juneja

“…This weighted and cell formed data set is finally processed under probabilistic implementation using Bayesian nets. The experiment is applied on JAFFE, CMU and CK datasets. …”
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Multi-layer obstacle-avoiding rectilinear steiner minimal tree algorithm based on deep reinforcement learning by Xing Huang, Yuhan Zhu, Yanbo Xu, Yajun Xie, Genggeng Liu

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Underwater optical metrology for precision monitoring of marine habitats: the MANATEE project by E. Nocerino, E. Nocerino, F. Menna, A. Calantropio, F. Pinna, S. Del Pizzo, S. Farina, A. Giaquinto, A. Lambertini, M. Menghini, S. Mokhtari, F. Ragazzola, S. Troisi, L. Vittuari

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Large-Scale Apple Orchard Identification from Multi-Temporal Sentinel-2 Imagery by Chunxiao Wu, Yundan Liu, Jianyu Yang, Anjin Dai, Han Zhou, Kaixuan Tang, Yuxuan Zhang, Ruxin Wang, Binchuan Wei, Yifan Wang

“…Using phenological information and multi-temporal feature-selected imagery, this paper proposed a large-scale apple orchard mapping method based on the AOCF-SegNet model. …”
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Leveraging artificial intelligence for diagnosis of children autism through facial expressions by Mahmood A. Mahmood, Leila Jamel, Nazik Alturki, Medhat A. Tawfeek

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