MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images-Reference-Cited by-同舟云学术

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MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images

Published:2023-07-23 Issue: Volume: Page:
ISSN:
Container-title:2023 18th International Conference on Machine Vision and Applications (MVA)
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Author:

Swetha G¹,Datla Rajeshreddy¹,Vishnu Chalavadi¹,C Krishna Mohan¹

Affiliation:

1. IIT Hyderabad,Dept. of CSE,Sangareddy,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10215492/10215533/10215928.pdf?arnumber=10215928

Reference39 articles.

1. Large-scale demonstration of machine learning for the detection of volcanic deformation in Sentinel-1 satellite imagery

2. Context Prior for Scene Segmentation

3. A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets

4. Disentangled non-local neural networks;yin;Computer Vision–ECCV 2020 16th European Conference Glasgow UK August 23–28 2020 Proceedings Part XV 16,2020

5. Forecasting, Detecting, and Tracking Volcanic Eruptions from Space

Cited by 2 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. Real-Time Cross-View Image Matching and Camera Pose Determination for Unmanned Aerial Vehicles;Photogrammetric Engineering & Remote Sensing;2024-06-01

2. Real-Time Semantic Segmentation of Remote Sensing Images for Land Management;Photogrammetric Engineering & Remote Sensing;2024-06-01

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