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 …
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 …
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 …
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 …
analyzing remote sensing images (RSIs) in various tasks. However, current methods often …
Bagged Regularized -Distances for Anomaly Detection
We consider the paradigm of unsupervised anomaly detection, which involves the
identification of anomalies within a dataset in the absence of labeled examples. Though …
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
Global land cover (GLC) data are an indispensable resource for understanding the
relationship between human activities and the natural environment. Estimating their …
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 …
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 …
dilakukan untuk mengetahui perkembangan dan perubahan yang terjadi. Salah satu …
Deep-Learning Approach for Uncertainty Error Evaluation of Crowdsourced Trajectories and Navigation Database Generation
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 …
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 …
large areas. This allows us to represent current land cover on maps in a simple and …