MANet: a multi-level aggregation network for semantic segmentation of high-resolution remote sensing images
Author:
Affiliation:
1. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China
2. State Key Laboratory LIESMARS, Wuhan University, Wuhan, China
Funder
National Natural Science Foundation of China
Postgraduate Research and Innovation Project of Jiangsu Province
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2073795
Reference56 articles.
1. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle
2. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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