Satellite Image based Crop Classification Using Convolutional Autoencoder
Author:
Affiliation:
1. Chemical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654383
Reference16 articles.
1. Application of Fuzzy Logic and Neural Network in Crop Classification: A Review
2. Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions
3. L. Kondmann S. Boeck R. Bonifacio and X. X. Zhu "DLR 3 Research Assessments and Monitoring Division " German Aerospace Center. [Online]. Available: https://docs.sentinel-hub.com/api/latest/data/sentinel-2-12a/
4. Cai X. Bi Y. and Nicholl P. 2022. Tampered VAE for Improved Satellite Image Time Series Classification. arXiv preprint arXiv:2203.16149. DOI: http://arxiv.org/abs/2203.16149
5. SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY
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