Home /Research /Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators
OTHER

Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators

Qu Zhou, Sheng Wang, Nanfeng Liu, Philip A. Townsend, Chongya Jiang, Bin Peng, W. Verhoef, Kaiyu Guan

Year
2023
Citations
26

Keywords

Hyperspectral imagingRemote sensingImaging spectroscopyKey (lock)AlgorithmAtmospheric correctionComputer scienceEnvironmental scienceImaging spectrometerArtificial intelligence

Related papers

Browse all OTHER papers