Rockburst Intensity Grade Prediction Based on Data Preprocessing Techniques and Multi-model Ensemble Learning Algorithms

ZC Jia, Y Wang, JH Wang, QY Pei… - Rock Mechanics and Rock …, 2024 - Springer
Rockburst is a mine dynamic disaster caused by the rapid release of elastic strain energy of
surrounding rock. As the depth of engineering project operations increases, accurate …

[HTML][HTML] What is the actual composition of specific land cover? An evaluation of the accuracy at a national scale–Remote sensing in comparison to topographic land …

J Bihałowicz, W Rogula-Kozłowska, P Gromek… - Remote Sensing …, 2024 - Elsevier
Satellite imagery allows us to capture and collect land cover information for increasingly
large areas. This allows us to represent current land cover on maps in a simple and …

[HTML][HTML] A Framework for Fine-Grained Land-Cover Classification Using 10 m Sentinel-2 Images

W Zhang, X Yang, Z Yuan, Z Chen, Y Xu - Remote Sensing, 2024 - mdpi.com
Land-cover mapping plays a crucial role in resource detection, ecological environmental
protection, and sustainable development planning. The existing large-scale land-cover …

[HTML][HTML] A multi-scale contextual attention network for remote sensing visual question answering

J Feng, H Wang - International Journal of Applied Earth Observation and …, 2024 - Elsevier
Remote sensing visual question answering (RSVQA) is a user-friendly method used for
analyzing remote sensing images (RSIs) in various tasks. However, current methods often …

Bagged Regularized -Distances for Anomaly Detection

Y Cai, Y Ma, H Yang, H Hang - arXiv preprint arXiv:2312.01046, 2023 - arxiv.org
We consider the paradigm of unsupervised anomaly detection, which involves the
identification of anomalies within a dataset in the absence of labeled examples. Though …

[HTML][HTML] A reference-free method for the thematic accuracy estimation of global land cover products based on the triple collocation approach

P Chen, H Huang, W Shi, R Chen - Remote Sensing, 2023 - mdpi.com
Global land cover (GLC) data are an indispensable resource for understanding the
relationship between human activities and the natural environment. Estimating their …

Reducing Investigator Bias in Sampling-Based Land Cover Classification by Integrating Multiple Investigators' Maps Using a Multiple Classifier System

N Tsutsumida, A Kato - arXiv preprint arXiv:2403.15720, 2024 - arxiv.org
Land cover classification plays a pivotal role in describing Earth's surface characteristics.
However, these thematic classifications can be affected by uncertainties introduced by an …

Genetic Fuzzy System untuk Klasifikasi Tutupan Lahan Berdasarkan Foto Udara Unmanned Aerial Vehicle (UAV)

BD Setiawan, AN Rusydi - Jurnal Teknologi Informasi dan Ilmu …, 2023 - jtiik.ub.ac.id
Pengamatan terhadap tata letak sebuah wilayah, terutama wilayah berpenduduk, penting
dilakukan untuk mengetahui perkembangan dan perubahan yang terjadi. Salah satu …

Deep-Learning Approach for Uncertainty Error Evaluation of Crowdsourced Trajectories and Navigation Database Generation

Y Yu, Z Liu, S Bai, L Chen, R Chen - … Technical Meeting of The Institute of …, 2024 - ion.org
Ubiquitous indoor positioning technology plays an important role in providing indoor
location-based services (iLBS) for the public. At this stage, crowdsourced multi-modal data …

[PDF][PDF] Remote Sensing Applications: Society and Environment

J Bihałowicz, W Rogula-Kozłowska, P Gromek… - researchgate.net
Satellite imagery allows us to capture and collect land cover information for increasingly
large areas. This allows us to represent current land cover on maps in a simple and …