Litter on the streets - solid waste detection using VHR images-Reference-Cited by-同舟云学术

Litter on the streets - solid waste detection using VHR images

Published:2023-02-20 Issue:1 Volume:56 Page:
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Ulloa-Torrealba Yrneh Zarit¹²³^ORCID,Schmitt Andreas¹⁴^ORCID,Wurm Michael²^ORCID,Taubenböck Hannes²^ORCID

Affiliation:

1. Department of Geoinformatics, Munich University of Applied Sciences HM, Munich, Germany

2. German Aerospace Center (DLR), Earth Observation Center (EOC), Oberpfaffenhofen, Germany

3. Chair of Remote Sensing, University of Wuerzburg, Wuerzburg, Germany

4. Institute for Applications of Machine Learning and Intelligent Systems (IAMLIS). Munich, GermanyDepartment, University, Munich, Germany

Funder

Munich University of Applied Sciences HM and the German Research Foundation (DFG) through the “Open Access Publishing” program

German Federal Ministry of Education and Research,FONA Client II initiative,Inform@Risk Strengthening the Resilience of Informal Settlements against Slope Movements

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2023.2176006

Reference54 articles.

1. Artificial intelligence applications in solid waste management: A systematic research review

2. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

3. Identifying a Slums’ Degree of Deprivation from VHR Images Using Convolutional Neural Networks

4. Image Classification to Determine the Level of Street Cleanliness: A Case Study

5. Anand S. & Sen A. (1997). Concepts of human development and Poverty: A multidimensional perspective. In Poverty and Human Development: Human Development Papers 1997 (pp. 1–20). United Nations Development Programme.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solid waste detection, monitoring and mapping in remote sensing images: A survey;Waste Management;2024-12

2. Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing;Waste Management;2024-09

3. Progressive Monitoring of Micro-Dumps Using Remote Sensing: An Applicative Framework for Illegal Waste Management;Sustainability;2024-07-03

4. Towards Sustainable Modes for Remote Monitoring in Waste Management: A Study of Marginalized Urban Areas in Romania;Sustainability;2024-03-14

5. Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach;IEEE Access;2024