Grid Level Analysis of the Performance of Artificial Neural Network Classifier on the Classification of Multispectral RS Data: A Case Study
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1862-9_37
Reference32 articles.
1. Yuan Q, Shen H, Li T, Li Z, Li S, Jiang Y, Xu H, Tan W, Yang Q, Wang J et al (2020) Deep learning in environmental remote sensing: achievements and challenges. Remote Sens Environ 241:111716
2. Jensen JR (2015) Introductory digital image processing: a remote sensing perspective. Prentice Hall Press
3. Carranza-Garcia M, Garcia-Gutierrez J, Riquelme JC (2019) A framework for evaluating land use and land cover classification using convolutional neural networks. Remote Sens 11(3):274
4. Lu D, Weng Q (2007) A survey of image classification methods and techniques for improving classification performance. Int J Remote Sens 28(5):823–870
5. Ayhan E, Kansu O (2012) Analysis of image classification methods for remote sensing. Exp Tech 36(1):18–25
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