Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation by Nabil Haddad, Karima Hadj-Rabah, Alessandra Budillon, Gilda Schirinzi

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Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

“…Obtaining reliable forest age data across various scales remains a significant challenge. …”
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Persistent vegetation greening trends across China’s wetlands by Yongxing Ren, Dehua Mao, Tao Wang, Mohamed Abdalla, Pete Smith, Xiangming Xiao, Zicheng Yu, Xiuxue Chen, Yanbiao Xi, Ling Luo, Xiaoyan Li, Zongming Wang

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Genome-wide association mapping of aluminum toxicity tolerance and fine mapping of a candidate gene for Nrat1 in rice. by Yonghong Tao, Yanan Niu, Yun Wang, Tianxiao Chen, Shahzad Amir Naveed, Jian Zhang, Jianlong Xu, Zhikang Li

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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Adaptive multi-step movement mode is introduced, and a multi-objective heuristic function is designed to introduce cross-obstacle evaluation. The simulation results show that: After optimization, the path length of the ant colony algorithm is shortened by 16.53% and 16.79% respectively in the scenario with fewer and more obstacles. …”
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Wireless sensor security communication and anti-leak locating technology based on region partition in power mobile inspection by Min XU, Lin PENG, Haiyun HAN, Nige LI, Zhansheng HOU

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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…While both have achieved certain recognition outcomes, they suffer from four key limitations: (1) insufficient algorithmic interpretability; (2) limited model generalizability; (3) restricted pattern diversity in recognition; (4) inability of existing methods (including deep learning and traditional algorithms) to achieve multi-pattern recognition across heterogeneous map group types (e.g., building groups vs. road networks) using a single framework. …”
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Improved Soybean Mapping with Spectral Gaussian Mixture Modeling by Guilong Xiao, Kaiqi Du, Shuangxi Miao, Xuecao Li, Anne Gobin, Tiecheng Bai, Miao Zhang, Bingfang Wu, Jianxi Huang

“…However, traditional sample-driven soybean mapping algorithms often rely on extensive, representative datasets, which can limit their applicability across different regions and periods. …”
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Mapping forest types along ecological gradient in Pakistan by Naveed Ahmad, Syed Ghias Ali

“…This study suggests that mapping of forest types through machine learning algorithms may be improved by incorporating other explanatory variables such as microclimate, soil types, nutrients, anthropogenic, demographic factors and spectral indices.…”
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Unmixing marsh vegetation species across multiple sensors and spatial scales by Zhicheng Yang, Tegan Blount, Conner Lester, Nat Blackford, Andrea D’Alpaos, Marco Marani, Brad Murray, Sonia Silvestri

“…This demonstrates that UAVs are cost-effective and efficient for acquiring ground truthing to inform FA estimation algorithms. Our analyses also indicate that the RRFR can accurately unmix dominant marsh species (Spartina and Juncus), as well as bare soil, across various spatial resolutions. …”
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Minimal repeats are ubiquitous sites of crossover and recombination across the human genome by Mina Ohadi, Nahid Tajeddin, Hadi Bayat, Dale J Annear, Ali M. A. Maddi, Hamid R. Khorram Khorshid, Kaveh Kavousi, Ahmad Delbari, Alireza Nikkhah, Masoud Arabfard

“…To this end, we hypothesized that dinucleotide 3-repeat units (D3Us) are, at least in part, the basic overlapping units resulting from unequal crossover between dinucleotide 2-repeat units (D2Us). We mapped TATATA, ATATAT, CGCGCG, and GCGCGC across the human genome and analyzed their colonization (the distance between consecutive D3Us < 500 bp). …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

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In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery by Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Ruopu Li, Haoteng Zhao

“…This algorithm only depended on one place&#x0027;s training data to mapping other places&#x2019; growing sugarcane. …”
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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

“…The algorithms were tested on uneven terrain within a palm oil plantation under varying illuminance conditions (morning and noon) and across trajectories of different lengths, corresponding to map sizes of 400 m (small), 600 m (medium), 1000 m (large), and 1200 m (extra-large). …”
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High spatial resolution vegetation mapping for assessment of wildlife habitat by Kelly M. Walton, Donald E. Spalinger, Norman R. Harris, William B. Collins, James J. Willacker

“…We used infrared and color digital photography acquired at an altitude of 150 m across 2 study areas with distinctly different vegetation to provide spectral data for supervised classifications of plant species using the maximum likelihood algorithm. …”
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An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

“…The third, or upscaling strategy, applied the high-resolution calibrated model to medium-resolution Sentinel-2 imagery, producing 10 m resolution EGs maps. The accuracy of these maps was evaluated against actual data and compared across strategies. …”
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Systematic mapping study of tools to identify emotions and personality traits by Amanul Islam, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman

“…The key findings of this study emphasize the need for standardized validation methods and large-scale studies across diverse populations to enhance the reliability and applicability of these tools. …”
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Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies by Fernando Arias, Maytee Zambrano, Edson Galagarza, Kathia Broce

“…An array of HSI techniques, algorithms, and deployment platforms are evaluated, analyzing their efficacy across varied geographical contexts. …”
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A Comprehensive Vector Dataset of Bus Networks Across China for the Year 2024 by Shiguang Wang, Jinyu He, Rui Ma, Zeyang Cheng, Heng Ding

“…We designed a set of high-precision algorithms for generating bus network vector data based on electronic map APIs, which include steps such as coordinate transformation, network simplification, station projection, and topology generation. …”
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The accuracy of image-based individual tree crown detection and delineation across vegetation types by N. Pucino, T. McVicar, S. Levick, A. van Dijk

“…<br />This study evaluates the performance of different ITS and Canopy Height Model (CHM) algorithms for generating large tree crown datasets using LiDAR-derived data from across Australia. …”
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