Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series
Author:
Affiliation:
1. Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA
Funder
Division of Atmospheric and Geospace Sciences
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1516313
Reference48 articles.
1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
2. Geographic Object-Based Image Analysis – Towards a new paradigm
3. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
4. Breuel, T. M. 2015. “Benchmarking of LSTM Networks.” arXiv preprint arXiv:1508.02774.
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