Research on Remote Sensing Image Classification Based on Improved ResNet-50
Author:
Affiliation:
1. School of Computer and Information Science, Chongqing Normal University, China
2. Agriculture and Rural Affairs Committee of Youyang County, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3672758.3672839
Reference27 articles.
1. Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors
2. SIFT feature point matching based on improved RANSAC algorithm[C]//2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics;Shi G;IEEE,2013
3. Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification
4. Hyperspectral remote sensing image classification based on combined SVM and LDA[C]//Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology;Zhang C;Techniques and Applications V. SPIE,2014
5. Quo vadis artificial intelligence?
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