Optimizing LUT-based inversion of leaf chlorophyll from hyperspectral lidar data: Role of cost functions and regulation strategies | Zendy

Jia Sun | Zendy; Shuo Shi | Zendy; Lunche Wang | Zendy; Haiyan Li | Zendy; Shaoqiang Wang | Zendy; Wei Gong | Zendy; Torbern Tagesson | Zendy

Open Access

Optimizing LUT-based inversion of leaf chlorophyll from hyperspectral lidar data: Role of cost functions and regulation strategies

Author(s) -

Jia Sun,

Shuo Shi,

Lunche Wang,

Haiyan Li,

Shaoqiang Wang,

Wei Gong,

Torbern Tagesson

Publication year - 2021

Publication title -

international journal of applied earth observation and geoinformation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.623

H-Index - 98

eISSN - 1872-826X

pISSN - 1569-8432

DOI - 10.1016/j.jag.2021.102602

Subject(s) - lookup table , hyperspectral imaging , inversion (geology) , remote sensing , lidar , red edge , atmospheric radiative transfer codes , radiative transfer , robustness (evolution) , computer science , algorithm , environmental science , mathematics , geography , optics , chemistry , physics , geology , structural basin , programming language , paleontology , biochemistry , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research