Multiscale Convolution Fusion Filters with Heterogenous Remote Sensing Images for Land Cover Change Detection-Reference-Cited by-同舟云学术

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Multiscale Convolution Fusion Filters with Heterogenous Remote Sensing Images for Land Cover Change Detection

Published:2024-02-23 Issue: Volume:20 Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
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Author:

Patil Shilpa¹,Kumar Sharan¹,Almusawi Muntather²,Malathy V.³,Sundaram S. Meenakshi⁴

Affiliation:

1. H.K.E. Society’s S.M.V. College of Engineering,Department of ECE,Raichur,VTU Belagavi, Karnataka,India

2. The Islamic University,Najaf,Iraq

3. School of Engineering SR University,Department of ECE,Warangal,Telangana,India

4. Nitte Meenakshi Institute of Technology,Department of AI and DS,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498917.pdf?arnumber=10498917

Reference15 articles.

1. V-BANet: Land cover change detection using effective deep learning technique

2. Incorporating attentive multi-scale context information for image captioning

3. Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images

4. Application of XGBoost model for early prediction of earthquake magnitude from waveform data

5. Multiscale Attention Network Guided With Change Gradient Image for Land Cover Change Detection Using Remote Sensing Images

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