Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi- and hyperspectral imagery

By L. Bernstein, S. Adler-Golden, R. Sundberg, R. Levine, T. Perkins, A. Berk, Anthony J. Ratkowski, G. Felde, Michael L. Hoke. 2005

174 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/c0383a9492a5561b271ef7f967309f83ea013f41

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In Media Technology

1. Yun Shi
2. Anjian Xu
3. Chi Zhang
4. Shunping Ji
5. Yulin Duan

Citations in the corpus

• 3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images (2018, methodology): “Both of GF1 and GF2 data have been preprocessed with quick atmospheric correction (QUAC) method [37] and geometrical rectification.”