SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network by Qianwen Rui, Yanan You, Jingyi Cao, Kaiwen Zhu, Yuanyuan Qiao

“…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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Automated Creation and Provisioning of Decision Information Packages for the Smart Factory by Eva Hoos, Pascal Hirmer, Bernhard Mitschang

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SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes by Rasha Alshawi, Md Meftahul Ferdaus, Md Tamjidul Hoque, Kendall Niles, Ken Pathak, Steve Sloan

“…This article introduces the semantic Haar-adaptive refined pyramid network (SHARP-Net), a novel architecture for semantic segmentation that delivers precise and efficient defect detection. SHARP-Net combines multiscale feature fusion, depthwise separable convolutions, and fine-tuned Haar-like features to enhance performance while reducing computational complexity. …”
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Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis by Brahim Jabir, Bendaoud Nadif, Isabel De la Torre Diez, Helena Garay, Irene Delgado Noya

“…When labeled data are scarce, which is a common challenge in remote sensing, SVM proves more reliable and efficient. Conversely, when abundant training data are available, SAE demonstrates impressive capabilities in learning complex patterns. …”
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A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data by Lingjia Huang, Bowen Ma, Qinghua Huang

“…The above superiority in computation efficiency and imaging robustness demonstrates that our new method has great potential in broadening the GPR applications, especially the cases for quasi-real-time detection and complex structure imaging.…”
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PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Deep learning (DL) methods offer enhanced capabilities for CyanoHABs detection by learning complex patterns and adapting to varying conditions. …”
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True Leaf Area Index Retrieval Using Terrestrial LiDAR for Broadleaf Trees via Novel Multiinclined-Planes Method by Yuyang Guo, Shihua Li, Hao Tang, Ze He

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Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass by Jisung Geba Chang, Feng Gao, Martha C. Anderson, Richard Cirone, Haoteng Zhao

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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

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Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. …”
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Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…Furthermore, visual analysis indicates that CTM accurately captures real change regions while significantly suppressing pseudo-changes, maintaining high descriptive accuracy even in complex environments. This study provides an efficient and precise solution for applications such as land use monitoring, environmental monitoring, and disaster response.…”
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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review by Diaa Addeen Abuhani, Imran Zualkernan, Raghad Aldamani, Mohamed Alshafai

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Enhancing Ground-Based SAR Monitoring With PCA-Based Geometry Transformation for Improved Phase Unwrapping by Matthieu Rebmeister, Andreas Schenk, Stefan Hinz, Frederic Andrian, Maxime Vonie

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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

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A Dual Branch Multiscale Stereo Matching Network for High-Resolution Satellite Remote Sensing Images by Zhenghui Xu, Yonghua Jiang, Jingxue Wang, Yunming Wang

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AuxTransUNet: Enhancing Remote Sensing Image Segmentation of Open-Pit Mining Areas in Qinghai–Tibet Plateau by Fangzhou Hong, Guojin He, Guizhou Wang, Zhaoming Zhang, Yan Peng

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SSL-MAE: Adaptive Semisupervised Learning Framework for Multilabel Classification of Remote Sensing Images Using Masked Autoencoders by Marjan Stoimchev, Jurica Levatic, Dragi Kocev, Saso Dzeroski

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Deep Temporal Joint Clustering for Satellite Image Time-Series Analysis by Wenqi Guo, Zheng Zhang, Yu Meng, Weixiong Zhang, Shichen Gao, Ping Tang

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AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

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