Bi-Directional LSTM Model For Classification Of Vegetation From Satellite Time Series-Reference-Cited by-同舟云学术

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Bi-Directional LSTM Model For Classification Of Vegetation From Satellite Time Series

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
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Author:

Bakhti Khadidja,El Amin Arabi Mohammed,Chaib Souleyman,Djerriri Khelifa,Karoui Moussa Sofiane,Boumaraf Said

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9102710/9105127/09105156.pdf?arnumber=9105156

Cited by 3 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. Attention to Both Global and Local Features: A Novel Temporal Encoder for Satellite Image Time Series Classification;Remote Sensing;2023-01-20

2. Land use and land cover classification using Landsat-8 multispectral remote sensing images and long short-term memory-recurrent neural network;INTERNATIONAL CONFERENCE ON TRENDS IN CHEMICAL ENGINEERING 2021 (ICoTRiCE2021);2022

3. Low-sample size remote sensing image recognition based on a multihead attention integration network;Multimedia Tools and Applications;2020-08-28

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