High-precision positioning of robotic systems on programme trajectories using satellite navigation measurements by S. V. Sokolov, A. I. Okhotnikov, D. V. Marshakov, I. V. Reshetnikova

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Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

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Land Use Patch Generalization Based on Semantic Priority by Jun Yang, Fanqiang Kong, Jianchao Xi, Quansheng Ge, Xueming Li, Peng Xie

“…Land use patch generalization is the key technology to achieve multiscale representation. We research patches and achieve the following. (1) We establish a neighborhood analysis model by taking semantic similarity between features as the prerequisite and accounting for spatial topological relationships, retrieve the most neighboring patches of a feature using the model for data combination, and thus guarantee the area of various land types in patch combination. (2) We establish patch features using nodes at the intersection of separate feature buffers to fill the bridge area to achieve feature aggregation and effectively control nonbridge area deformation during feature aggregation. (3) We simplify the narrow zones by dividing them from the adjacent feature buffer area and then amalgamating them into the surrounding features. …”
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Applying Remote Sensing to Assess Post-Fire Vegetation Recovery: A Case Study of Serra do Açor (Portugal) by Noah Wassner, Albano Figueiredo, Adélia N. Nunes

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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

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100-m-resolution surface soil moisture data during the thawing season on the Qinghai‒Tibet Plateau by Zhibin Li, Lin Zhao, Lingxiao Wang, Guangyue Liu, Erji Du, Defu Zou, Guojie Hu, Zanpin Xing, Chong Wang, Shibo Liu, Minxuan Xiao, Luhui Yin, Yiwei Wang

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Study on the risk identification of abnormal gas outbursts based on the mechanism of biological immunity by Jufeng Zhang, Shiliang Shi, Lizhi Zhang

“…In order to achieve dynamic risk identification of abnormal gas outbursts under complex underground conditions, provide decision-making basis for rapid warning and early prevention of abnormal gas outbursts, the principles of immune recognition of biological immune systems were adopted. Research was conducted on the identification of spatial risk zones for abnormal gas outbursts, the adaptive recognition algorithm based on T-B cell principles, and the type recognition of abnormal gas outbursts based on the Dynamic Time Warping algorithm. …”
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Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

“…Results The research results show that the digital twin coiled tubing and contact algorithm can effectively predict the contact state of coiled tubing operations; the verification model shows that the contact algorithm can accurately analyze the contact state of different well trajectories. …”
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Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation by Songtao Li, Weigang Li, Yang Li

“…Compared with the existing NMF research results, the model explores the deep association of data and constructs accurate spatial structure from a new perspective. …”
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ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection by Dandan Liao, Jianxun Zhang, Ye Tao, Xie Jin

“…However, many methods are ineffective for challenging UAV images that feature uneven object scales, sparse spatial distribution, and dense occlusions. We propose a new algorithm for detecting small objects in UAV images, called ATBHC-YOLO. …”
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Fast Collision Detection Method with Octree-Based Parallel Processing in Unity3D by Kunthroza Hor, Taeheon Kim, Min Hong

“…In this study, we have developed an improved algorithm for geometric bounding volume hierarchy (BHV) in 3D spatial subdivisions using an Octree-based axis-aligned bounding box (AABB) structure. …”
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Snow Depth Retrieval Using Sentinel-1 Radar Data: A Comparative Analysis of Random Forest and Support Vector Machine Models with Simulated Annealing Optimization by Yurong Cui, Sixuan Chen, Guiquan Mo, Dabin Ji, Lansong Lv, Juan Fu

“…Overall, the SVM model exhibits deficiencies in both predictive accuracy and spatial stability. This study provides a valuable reference for snow depth retrieval research based on active microwave remote sensing techniques.…”
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Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) by S. Sim, S. Choi, D. Jung, J. Woo, N. Kim, S. Park, H. Kim, U. Jeong, H. Hong, K.-S. Han

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Detection and tracking of mask wearing based on deep learning by Wang Lin, Nan Gaigai

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Application of the Mean-shift Segmentation Parameters Estimator (MSPE) to VHSR satellite images: Tetuan-Morocco by O. Benarchid, N. Raissouni, J.A. Sobrino, A. El Ayyan

“…Optimal parameters selection is usually carried out on the basis of visual interpretation; therefore, defining optimal combinations is a challenging task. In the present research, Mean-shift Segmentation Parameters estimator (MSPE) proposed tool is applied to automate the selection of segmentation parameters values to Very High Spatial Resolution (VHSR) satellite images in the region of Tetuan city (Northern Morocco). …”
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An efficient non-parametric feature calibration method for few-shot plant disease classification by Jiqing Li, Zhendong Yin, Dasen Li, Hongjun Zhang, Mingdong Xu

“…The temporal and spatial irregularity of plant diseases results in insufficient image data for certain diseases, challenging traditional deep learning methods that rely on large amounts of manually annotated data for training. …”
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Wireless Localization Based on RSSI Fingerprint Feature Vector by Aiguo Zhang, Ying Yuan, Qunyong Wu, Shunzhi Zhu, Jian Deng

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Investigation of the Relation between South and Southwest Iran\'s Heavy Rainfall with Atmospheric Rivers (ARs). by Nesa sepandar, kamal omidvar

“…In this study, we tried to identify the sources of moisture and its direction of heavy rainfall in south and southwest of Iran by using a new algorithm based on atmospheric rivers. For this purpose, daily rainfall of 17 synoptic stations in the period 1986 to 2015 in south and southwestern Iran that have a common time span and fully cover the study area is used.Also from the data set of the National Center for Environmental Prediction / National Center for Atmospheric Research (NCEP / NCAR) European Mid-Term Forecast Center (ECMWF) and ERA-interim data with spatial resolution of 0.75 It was used at 0.75 latitude and longitude with 6 hour resolution. …”
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An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network by Jiadi Qi, Xiaoke Lu, Jinping Sun

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Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar by Shuo Shi, Chengyu Gong, Qian Xu, Ao Wang, Xingtao Tang, Sifu Bi, Wei Gong

“…Furthermore, this study proposes a multi-channel-assisted optimization algorithm that can precisely extract faint and overlapping echoes that a single-channel algorithm cannot extract. …”
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