Semantic Segmentation of Landsat Satellite Imagery-Reference-Cited by-同舟云学术

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Semantic Segmentation of Landsat Satellite Imagery

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 Seventh International Conference on Informatics and Computing (ICIC)
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Author:

Herlawati Herlawati¹,Handayanto Rahmadya Trias²,Atika Prima Dina¹,Sugiyatno Sugiyatno¹,Rasim Rasim¹,Mugiarso Mugiarso¹,Hendharsetiawan Andy Achmad¹,Jaja Jaja³,Purwanti Santi³

Affiliation:

1. Informatics, Universitas Bhayangkara Jakarta Raya,Jakarta,Indonesia

2. Computer Engineering, Universitas Islam 45,Bekasi,Indonesia

3. Information System, Universitas Subang,Subang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10006837/10006892/10006917.pdf?arnumber=10006917

Reference26 articles.

1. EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images

2. UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation

3. SD-UNet: Stripping down U-Net for Segmentation of Biomedical Images on Platforms with Low Computational Budgets

4. ResNet-50 vs VGG-19 vs training from scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest X-ray images

5. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;36th Int Conf Mach Learn ICML 2019,0

Cited by 1 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. Image Segmentation of the Sudd Wetlands in South Sudan for Environmental Analytics by GRASS GIS Scripts;Analytics;2023-09-21

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