Revamping land coverage analysis using aerial satellite image mapping-Reference-Cited by-同舟云学术

Revamping land coverage analysis using aerial satellite image mapping

Published:2020-03-30 Issue: Volume: Page:e3927
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Rajmohan Gowtham¹,Chinnappan Chandru Vignesh²^ORCID,John William Alfred Daniel²,Chandrakrishan Balakrishnan Sivaparthipan²,Anand Muthu Bala³^ORCID,Manogaran Gunasekaran⁴

Affiliation:

1. Department of Computer Applications; PSG College of Technology; Coimbatore India

2. Department of Computer Science and Engineering; SNS College of Technology; Coimbatore India

3. Department of Computer Science and Engineering; V.R.S. College of Engineering and Technology; Viluppuram India

4. Big Data Scientist; University of California; Oakland California

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ett.3927/fullpdf

Reference30 articles.

1. Selection of LiDAR geometric features with adaptive neighbourhood size for urban land cover classification;Dong;Int J Appl Earth Obs Geoinform,2017

2. Multi-source remotely sensed data fusion for improving land cover classification;Chen;ISPRS J Photogrammetry Remote Sens,2017

3. Automatic land cover classification of geo-tagged field photos by deep learning;Xu;Env Modell Softw,2017

4. Predicting individual pixel error in remote sensing soft classification;Khatami;Remote Sensing of Environment Elsevier,2017

5. Remote sensing image classification based on the optimal support vector machine and modified binary coded ant colony optimization algorithm;Wanga;Inf Sci,2017

Cited by 26 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. Digital mapping of coastal landscapes integrating ocean-environment relationships and machine learning;Earth Science Informatics;2024-07-19

2. Dynamic Feature Selection and Classification for Threat Mitigation in Wireless Sensor Networks;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

3. MAST: An Earthquake-Triggered Landslides Extraction Method Combining Morphological Analysis Edge Recognition With Swin-Transformer Deep Learning Model;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Urban expansion based on remote sensing extraction of impervious surface information;International Journal of Hydrology Science and Technology;2024

5. Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks;Earth Science Informatics;2023-11-24