Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
2. University of Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1871094
Reference58 articles.
1. Abhishek, C., and C. Eugenio. 2017. “Linknet: Exploiting Encoder Representations for Efficient Semantic Segmentation.” In 2017 IEEE Visual Communications and Image Processing, St. Petersburg, FL, USA, December, 10-13.
2. Atmospheric correction for shortwave spectral imagery based on MODTRAN4
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
4. Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices
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