Mining and tailings dam detection in satellite imagery using deep learning

Mining and tailings dam detection in satellite imagery using deep learning

This work explores the combination of free cloud computing, free open-source software, and deep learning methods to analyze a real, large-scale problem: the automatic country-wide identification and classification of surface mines and mining tailings dams in Brazil. Locations of officially registere...

Mô tả đầy đủ

Chi tiết về thư mục
Những tác giả chính:	Balaniuk, R, Isupova, O, Reece, S
Định dạng:	Journal article
Ngôn ngữ:	English
Được phát hành:	MDPI 2020

Những quyển sách tương tự

Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning
Bằng: Remis Balaniuk, et al.
Được phát hành: (2020-12-01)

Using very-high-resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Bằng: Duporge, I, et al.
Được phát hành: (2020)

BRAZILDAM: A BENCHMARK DATASET FOR TAILINGS DAM DETECTION
Bằng: E. Ferreira, et al.
Được phát hành: (2020-11-01)

Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing–Jin–Ji Region, China
Bằng: Qingting Li, et al.
Được phát hành: (2020-08-01)

Gray whale detection in satellite imagery using deep learning
Bằng: Katherine M. Green, et al.
Được phát hành: (2023-12-01)

Photovoltaics Detection in Satellite Imagery using Deep Learning and Remote Sensing
Bằng: Ravishankar, Rashmi
Được phát hành: (2023)

Rheology of mine tailings deposits for dam break analyses
Bằng: Débora Magalhães Chácara, et al.
Được phát hành: (2021-03-01)

Monitoring river turbidity after a mine tailing dam failure using an empirical model derived from Sentinel-2 imagery
Bằng: PEDRO L.B. CRIONI, et al.
Được phát hành: (2023-05-01)

Automated Detection of Chilean Mine Waste Storage Facilities Using Advanced Deep Learning Models and Sentinel-2 Satellite Imagery
Bằng: Manuel Silva, et al.
Được phát hành: (2025-01-01)

The potential to reduce the risks posed by tailings dams using satellite-based information
Bằng: Lumbroso, D, et al.
Được phát hành: (2019)

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam
Bằng: Weiguo Xie, et al.
Được phát hành: (2023-12-01)

Regional Distribution and Causes of Global Mine Tailings Dam Failures
Bằng: Shui-Quan Lin, et al.
Được phát hành: (2022-05-01)

Engineering properties of iron mine slimes for tailings dam stability
Bằng: Tawil, Marc Rami
Được phát hành: (2005)

Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning
Bằng: Dmitry E. Kislov, et al.
Được phát hành: (2020-04-01)

Manganese: The overlooked contaminant in the world largest mine tailings dam collapse
Bằng: Hermano M. Queiroz, et al.
Được phát hành: (2021-01-01)

Regional-Scale Detection of Palms Using VHR Satellite Imagery and Deep Learning in the Guyanese Rainforest
Bằng: Matthew J. Drouillard, et al.
Được phát hành: (2024-12-01)

Deep Learning for Pavement Condition Evaluation Using Satellite Imagery
Bằng: Prathyush Kumar Reddy Lebaku, et al.
Được phát hành: (2024-09-01)

Satellite Imagery-Based Cloud Classification Using Deep Learning
Bằng: Rukhsar Yousaf, et al.
Được phát hành: (2023-12-01)

Deep learning for detecting and characterizing oil and gas well pads in satellite imagery
Bằng: Neel Ramachandran, et al.
Được phát hành: (2024-08-01)

DEEP LEARNING FOR THE DETECTION OF EARLY SIGNS FOR FOREST DAMAGE BASED ON SATELLITE IMAGERY
Bằng: D. Wittich, et al.
Được phát hành: (2022-05-01)

CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning
Bằng: Alistair Francis, et al.
Được phát hành: (2019-10-01)

Detecting Arsenic Contamination Using Satellite Imagery and Machine Learning
Bằng: Ayush Agrawal, et al.
Được phát hành: (2021-12-01)

Failure risk of brazilian tailings dams: a data mining approach
Bằng: TATIANA B. SANTOS, et al.
Được phát hành: (2021-09-01)

Recycling Dam Tailings as Cemented Mine Backfill: Mechanical and Geotechnical Properties
Bằng: Tugrul Kasap, et al.
Được phát hành: (2022-01-01)

Mine tailings storage dams modify upstream headwater fish assemblages
Bằng: Gilberto N. Salvador, et al.
Được phát hành: (2023-04-01)

Vegetation change detection and recovery assessment based on post-fire satellite imagery using deep learning
Bằng: R. Shanmuga Priya, et al.
Được phát hành: (2024-06-01)

BoatNet: automated small boat composition detection using deep learning on satellite imagery
Được phát hành: (2023-05-01)

GEOMEMBRANE BASINS DETECTION BASED ON SATELLITE HIGH-RESOLUTION IMAGERY USING DEEP LEARNING ALGORITHMS
Bằng: M. Benayad, et al.
Được phát hành: (2023-02-01)

Comprehensive analysis of the stability of tailings-geotextile composite—Iron Mine Tailings Dam in Gushan, Anhui, China
Bằng: Yuxin Zhou, et al.
Được phát hành: (2022-08-01)

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
Bằng: Jon Alvarez Justo, et al.
Được phát hành: (2025-01-01)

Deep Learning for Understanding Satellite Imagery: An Experimental Survey
Bằng: Sharada Prasanna Mohanty, et al.
Được phát hành: (2020-11-01)

Delineation of the Hydrological Boundaries of the Major Dams’ Watersheds Using Satellite Imagery and Base Maps
Bằng: M. Mohammad Rezapour Tabari, et al.
Được phát hành: (2015-04-01)

A Systematic Review of the Use of Deep Learning in Satellite Imagery for Agriculture
Bằng: Brandon Victor, et al.
Được phát hành: (2025-01-01)

Global-scale object detection using satellite imagery
Bằng: R. Hamid, et al.
Được phát hành: (2014-08-01)

Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery
Bằng: Seda Camalan, et al.
Được phát hành: (2022-04-01)

Modelling Hazard for Tailings Dam Failures at Copper Mines in Global Supply Chains
Bằng: Sören Lars Nungesser, et al.
Được phát hành: (2022-10-01)

Floristic composition of gold and uranium tailings dams, and adjacent polluted areas, on South Africa’s deep-level mines
Bằng: I. M. Weiersbye, et al.
Được phát hành: (2006-08-01)

DETECTION OF CLOUDS IN MEDIUM-RESOLUTION SATELLITE IMAGERY USING DEEP CONVOLUTIONAL NEURAL NETS
Bằng: A. Hasan, et al.
Được phát hành: (2022-07-01)

DESIGN and construction of tailings dams
Bằng: Wilson, David
Được phát hành: (1981)

Deep Transfer Learning of Satellite Imagery for Land Use and Land Cover Classification
Bằng: Teklay Yifter, et al.
Được phát hành: (2022-09-01)