Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…The proposed method uses multi-decomposition techniques (i.e., Independent component analysis, Non-negative matrix factorization, and 3D wavelet transforms) to extract spatial and spectral features to form a sparse dictionary. …”
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Identification and Redevelopment of Inefficient Industrial Land in Resource-Exhausted Cities: A Case Study of Hegang, China by Yanping Qi, Yinghui Zhao, Jingpeng Guo, Yuwei Wang

“…Breaking the locked relationship between industrial land and resource dependence promotes the deep integration of spatial restructuring and sustainable transformation. …”
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Evaluation of Dynamic Visual Perception of Riverside Interface in Mountainous Cities from the Perspective of Boating by Dan LUO, Ruhong WEI

“…The visual perception data of viewers is collected through questionnaire, and spatial characteristics are quantified through the images of urban riverside interface to obtain the spatial data. …”
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RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM by Zhuoran Liu, Zizhen Li, Ying Liang, Claudio Persello, Bo Sun, Guangjun He, Lei Ma

“…Satellite remote sensing images contain complex and diverse ground object information and the images exhibit spatial multi-scale characteristics, making the panoptic segmentation of satellite remote sensing images a highly challenging task. …”
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An Investigation of Pre-Seismic Ionospheric TEC and Acoustic–Gravity Wave Coupling Phenomena Using BDS GEO Measurements: A Case Study of the 2023 Jishishan Ms6.2 Earthquake by Xiao Gao, Lina Shu, Zongfang Ma, Penggang Tian, Lin Pan, Hailong Zhang, Shuai Yang

“…During concurrent G1-class geomagnetic storm activity, spatial attenuation gradients and velocity anisotropy appear primarily consistent with seismogenic sources, providing insights for precursor discrimination and contributing to understanding multi-scale coupling in seismo-ionospheric systems.…”
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FAD-Net: Automated Framework for Steel Surface Defect Detection in Urban Infrastructure Health Monitoring by Nian Wang, Yue Chen, Weiang Li, Liyang Zhang, Jinghong Tian

“…The MSDFConv module, employing multi-scale dilated convolutions with optimized dilation rates to preserve fine details while expanding the receptive field. …”
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Index-Based Neural Network Framework for Truss Structural Analysis via a Mechanics-Informed Augmented Lagrangian Approach by Hyeonju Ha, Sudeok Shon, Seungjae Lee

“…The efficiency and accuracy of the framework were numerically validated using various examples, including spatial trusses, square grid-type space frames, lattice domes, and domes exhibiting radial flow characteristics. …”
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YOLO-HF: Early Detection of Home Fires Using YOLO by Bo Peng, Tae-Kook Kim

“…Additionally, we incorporated the RepNCSPELAN4 feature extraction module, which preserves and leverages multi-scale feature information through multi-stage convolution and multi-layer feature fusion. …”
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3D Visualization System of Breast Magnetic Resonance Images Based on Deep Learning and Volume Rendering by Rong Chen, Stephen Karungaru, Kenji Terada, Changyan Xu

“…Through interactive operations, the system facilitates multi-scale and multi-perspective observation and analysis of lesion characteristics, including shape, size, and location, thus assisting clinicians in diagnosis and treatment planning, while improving patient understanding of their condition.…”
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Research on X-Ray Weld Defect Detection of Steel Pipes by Integrating ECA and EMA Dual Attention Mechanisms by Guanli Su, Xuanhe Su, Qunkai Wang, Weihong Luo, Wei Lu

“…Firstly, the Efficient Multi-Scale Attention (EMA) attention mechanism is integrated into the first Cross Stage Partial (C3) module of the backbone to enhance the model’s receptive field and the initial feature extraction. …”
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Spatiotemporal variations of precipitation and driving forces during wheat maturation season in Henan Province by Zezhong Zhang, Hengzhi Guo, Qingqing Qi, Xudong Luo, Weijie Zhang, Kai Feng, Fei Wang, Jian Liu

“…By analyzing the spatial and temporal characteristics of wheat maturation rain and further revealing its driving mechanism, it is of great significance to understand the ability of wheat to adapt to climate change and ensure food security.…”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…Finally, a dynamic WIoU evaluation function is implemented, constructing adaptive penalty terms based on the spatial distribution characteristics of predicted and ground-truth bounding boxes, thereby optimizing the boundary localization accuracy of densely packed small targets from the UAV viewpoint. …”
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VE-GCN: A Geography-Aware Approach for Polyline Simplification in Cartographic Generalization by Siqiong Chen, Anna Hu, Yongyang Xu, Haitao Wang, Zhong Xie

“…This architecture is composed of a structure for retaining local positional information and another for extracting multi-scale features. These components capture high–low dimensional and large–small scale features, contributing to polylines’ comprehensive local and global representation. …”
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PathoGraph: A Graph-Based Method for Standardized Representation of Pathology Knowledge by Peiliang Lou, Yuxin Dong, Caixia Ding, Chunbao Wang, Ruifeng Guo, XiaoBo Pang, Chen Wang, Chen Li

“…By applying PathoGraph to neoplastic diseases, we illustrate its ability to comprehensively and structurally capture multi-scale disease characteristics alongside pathologists’ expertise. …”
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Wavelet deep unfolding network for iterative stripe noise removal in wideband microwave imaging system for EMS localization by Yanju Zhu, Zihan Zhao

“…Abstract The wideband microwave imaging system is a passive focal-plane imaging system which is used for large-scale, wideband electromagnetic interference source (EMS) imaging. …”
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Efficient Aero-Optical Degraded Image Restoration via Adaptive Frequency Selection by Yingjiao Huang, Qingpeng Zhang, Xiafei Ma, Haotong Ma

“…To learn multi-scale and accurate features, we develop cascaded global and local attention mechanism modules to capture long-distance dependency and extensive contextual information. …”
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Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China) by Jun Shang, Mingyang Wang, Xin Wang, Mengyao Yang, Yifan Wu, Wangze Du

“…The comprehensive analysis of land subsidence in northern Tianjin’s mountainous region revealed multi-directional surface deformation characteristics, with validation against GNSS Kriging interpolation data demonstrating root mean square errors of 5.74 mm and 5.09 mm in vertical and east–west directions, respectively. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…This is associated with the high rock fragment content (>40%) in the ridge zone, facilitating the formation of continuous macropore networks. 4)Wavelet coherence analysis proved feasible for quantifying dynamic hydrological processes, effectively capturing multi-scale soil moisture resonance phenomena. The wavelet coherence coefficient matrix successfully revealed multi-scale patterns in soil moisture dynamics, providing a robust metric for quantitatively analyzing the coupling mechanisms between soil moisture and eco-hydro-meteorological factors. …”
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GIS-MONITORING FORMATION OF ETHNIC STRUCTURE OF POPULATION OF URBAN AGLOMERATIONS IN RUSSIA by A. A. Cherkasov, N. V. Sopnev, V. R. Gaydukov

“…GIS is built on the principle of multi-scale and takes into account the administrative and territorial division ofthe Russian Federation. …”
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A High-Accuracy Underwater Object Detection Algorithm for Synthetic Aperture Sonar Images by Jiahui Su, Deyin Xu, Lu Qiu, Zhiping Xu, Lixiong Lin, Jiachun Zheng

“…Furthermore, an underwater multi-scale contextual attention mechanism, named UWA, is introduced to enhance the model’s discriminative ability for multi-scale objects and complex backgrounds. …”
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