Effectiveness of autoencoder for lake area extraction from high-resolution RGB imagery: an experimental study-Reference-Cited by-同舟云学术

Effectiveness of autoencoder for lake area extraction from high-resolution RGB imagery: an experimental study

Published:2021-02-17 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Tercan Emre^ORCID,Atasever Umit Haluk

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11356-021-12893-y.pdf

Reference92 articles.

1. Acharya TD, Subedi A, Lee DH (2019) Evaluation of machine learning algorithms for surface water extraction in a Landsat 8 scene of nepal. Sensors (Basel) 19:2769. https://doi.org/10.3390/s19122769

2. Altınsaçlı S, Griffiths HI (2001) Ostracoda (Crustacea) from the Turkish Ramsar site of Lake Kuş (Manyas Gölü). Aquat Conserv 11:217–225. https://doi.org/10.1002/aqc.444

3. Asomani-Boateng R (2019) Urban wetland planning and management in Ghana: a disappointing implementation. Wetlands 39:251–261. https://doi.org/10.1007/s13157-018-1105-7

4. Atasever UH (2017) A new unsupervised change detection approach with hybrid clustering for detecting the areal damage after natural disaster. Fresenius Environ Bull 26:3891–3896

5. Atasever UH (2019) A novel unsupervised change detection approach based on reconstruction independent component analysis and ABC-Kmeans clustering for environmental monitoring. Environ Monit Assess 191:447. https://doi.org/10.1007/s10661-019-7591-0

Cited by 4 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. Deep learning-based burned forest areas mapping via Sentinel-2 imagery: a comparative study;Environmental Science and Pollution Research;2023-12-19

2. Identification of the sources and influencing factors of the spatial variation of heavy metals in surface sediments along the northern Jiangsu coast;Ecological Indicators;2022-04

3. Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset;Environmental Science and Pollution Research;2021-11-08

4. Analysis of the Temporal Changes of Inland Ramsar Sites in Turkey Using Google Earth Engine;ISPRS International Journal of Geo-Information;2021-07-31