Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery

Deep learning (DL) convolutional neural networks (CNNs) have been rapidly adapted in very high spatial resolution (VHSR) satellite image analysis. DLCNN-based computer visions (CV) applications primarily aim for everyday object detection from standard red, green, blue (RGB) imagery, while earth scie...

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Detalles Bibliográficos
Autores principales: Bhuiyan, Md Abul Ehsan, Witharana, Chandi, Liljedahl, Anna K., Jones, Benjamin M., Daanen, Ronald, Epstein, Howard E., Kent, Kelcy, Griffin, Claire G., Agnew, Amber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321057/
https://www.ncbi.nlm.nih.gov/pubmed/34460754
http://dx.doi.org/10.3390/jimaging6090097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321057/
https://www.ncbi.nlm.nih.gov/pubmed/34460754
http://dx.doi.org/10.3390/jimaging6090097

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