Multi-scale Residual Spatial-Spectral Attention Longan-Litchi Extraction Network for Cultivated Land Non-grain Monitoring-Reference-Cited by-同舟云学术

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Multi-scale Residual Spatial-Spectral Attention Longan-Litchi Extraction Network for Cultivated Land Non-grain Monitoring

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
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Author:

Xue Yingshan¹,Jiang Yonghua¹,Wang Chengjun²,Wu Kaiwen³,Zhang Xiaoxiao¹,Liu Weiling⁴

Affiliation:

1. Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China

2. Xiangtan University,School of Computer Science & School of Cyberspace Science,Changsha,China

3. China University of Geosciences, Beijing,School of Earth Sciences and Resources,Beijing,China

4. Wuhan University,State Key Laboratory of information Engineering in Surveying, Mapping and Remote Sensing,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233256/10233125/10233306.pdf?arnumber=10233306

Reference8 articles.

1. Squeeze-and-Excitation Networks

2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

3. Towards the use of low-cost GNSS receivers for permanent networks in precision agriculture

4. A Novel Classification Framework for Hyperspectral Image Classification Based on Multiscale Spectral-Spatial Convolutional Network

5. Global Spatial and Local Spectral Similarity Based Sample Augment and Extended Subspace Projection for Hyperspectral Image Classification

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