Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach
出版年份 2022 全文链接
标题
Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach
作者
关键词
-
出版物
Geocarto International
Volume 38, Issue 1, Pages -
出版商
Informa UK Limited
发表日期
2022-12-29
DOI
10.1080/10106049.2022.2164361
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
- (2022) Kunsen Lin et al. Journal of Cleaner Production
- Applying a deep residual network coupling with transfer learning for recyclable waste sorting
- (2022) Kunsen Lin et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer
- (2022) Kunsen Lin et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Mapping of plastic greenhouses and mulching films from very high resolution remote sensing imagery based on a dilated and non-local convolutional neural network
- (2021) Quanlong Feng et al. International Journal of Applied Earth Observation and Geoinformation
- Estimation of municipal solid waste amount based on one-dimension convolutional neural network and long short-term memory with attention mechanism model: A case study of Shanghai
- (2021) Kunsen Lin et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Finding Plastic Patches in Coastal Waters using Optical Satellite Data
- (2020) Lauren Biermann et al. Scientific Reports
- Mapping marine litter on coastal dunes with unmanned aerial systems: A showcase on the Atlantic Coast
- (2020) Umberto Andriolo et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Urban Green Plastic Cover Mapping Based on VHR Remote Sensing Images and a Deep Semi-Supervised Learning Framework
- (2020) Jiantao Liu et al. ISPRS International Journal of Geo-Information
- SRAF-Net: Shape Robust Anchor-Free Network for Garbage Dumps in Remote Sensing Imagery
- (2020) Xian Sun et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta
- (2019) Quanlong Feng et al. Remote Sensing
- Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning: A case study along the beaches of the Republic of Maldives
- (2019) L. Fallati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery
- (2018) Mohammad Rezaee et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images using the segmentation threshold method
- (2018) Zhongcong Bao et al. MARINE POLLUTION BULLETIN
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Photogrammetry for environmental monitoring: The use of drones and hydrological models for detection of soil contaminated by copper
- (2015) Alessandra Capolupo et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier—A Case of Yuyao, China
- (2015) Quanlong Feng et al. Water
- Low altitude remote-sensing method to monitor marine and beach litter of various colors using a balloon equipped with a digital camera
- (2012) Shin’ichiro Kako et al. MARINE POLLUTION BULLETIN
- Municipal Solid Waste Collection and Management Problems: A Literature Review
- (2012) Jeroen Beliën et al. TRANSPORTATION SCIENCE
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