Instance Segmentation in Remote Sensing Imagery using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Instance Segmentation in Remote Sensing Imagery using Deep Convolutional Neural Networks

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on contemporary Computing and Informatics (IC3I)
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Author:

Potlapally Anirudh,Chowdary Potluri Sai Rohit,Raja Shekhar S.S.,Mishra Nitin,Madhuri Chella Sri Venkata Divya,Prasad A.V.V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9048031/9055508/09055569.pdf?arnumber=9055569

Cited by 18 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. MATNet: multiattention Transformer network for cropland semantic segmentation in remote sensing images;International Journal of Digital Earth;2024-08-19

2. Real-time flash flood detection employing the YOLOv8 model;Earth Science Informatics;2024-07-29

3. Utilizing Dual-Stream Encoding and Transformer for Boundary-Aware Agricultural Parcel Extraction in Remote Sensing Images;Remote Sensing;2024-07-18

4. A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP;Frontiers in Plant Science;2024-02-01

5. Case instance segmentation of small farmland based on Mask R-CNN of feature pyramid network with double attention mechanism in high resolution satellite images;Computers and Electronics in Agriculture;2023-09

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