Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images
Author:
Affiliation:
1. Institute of Remote Sensing and GIS, Peking University, Beijing, People’s Republic of China
Funder
National Natural Science Foundation of China
Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2020.1831087
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1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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