Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image-Reference-Cited by-同舟云学术

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Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image

Published:2024-02-05 Issue: Volume:abs/1911.09296 Page:212-217
ISSN:
Container-title:2024 IEEE 18th International Conference on Semantic Computing (ICSC)
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Author:

Tarry Jaelen¹,Dong Xishuang¹,Li Xiangfang¹,Qian Lijun¹,Chance Leah²,Morrone Philip²

Affiliation:

1. Prairie View A&M University,CREDIT Center and ECE Department,Prairie View,TX,USA,77446

2. Air Force Research Laboratory IR,Rome,NY,USA

Funder

U.S. Air Force

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475597/10475598/10475602.pdf?arnumber=10475602

Reference14 articles.

1. xbd: A dataset for assessing building damage from satellite imagery;Gupta;CoRR,2019

2. Foreground Background Separation and Tracking

3. Image Segmentation Using Deep Learning: A Survey

4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

5. UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

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