A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery (2022)
Attributed to:
UK-China Agritech Challenge: CropDoc - Precision Crop Disease Management for Farm Productivity and Food Security
funded by
Newton Fund
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tgrs.2021.3058782
Publication URI: http://dx.doi.org/10.1109/tgrs.2021.3058782
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Geoscience and Remote Sensing