高分辨率定量遥感的偏振光效应与偏振遥感新领域

Translated title of the contribution: Optical polarized effects for high-resolution quantitative remote sensing and new polarization remote sensing fields

Lei Yan, Xingfa Gu, Junhao Chu, Zheng You, Shiyuan Liu, Motimor Hugh, V. Chandrasekar

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The optical multi-scale effect proposed by Academician Li Xiaowen in the last century has become an important cornerstone of quantitative remote sensing. The high-resolution optical polarization effect is gradually highlighted and directly determines or affects the high-resolution observation system, that is, implementation of quantitative remote sensing effect and quality assurance, given the development of the aerospace high-resolution observation in this century, namely, quantitative remote sensing, after effectively solving the optical multi-scale effect. For example, Chinese scholars found that the vegetation canopy has an extremely weak scattering reflection polarization effect when its model error of 136% is not deducted. Atmospheric attenuation is the atmospheric polarization effect and is the largest error source of remote sensing inversion; the error reaches 5%-30%. Polarization means deducting the atmospheric error can reduce the error by more than half. Observation instrument subtracts multiple scattered transmission polarized light, thereby attaining 5 nm resolution and 0.1-0.3 nm hyperspectral scalability, through polarization-enhanced light noise separation of the central wavelength offset and bandwidth degradation of the root causes of error. The system can achieve 10 -8 spherical radiance benchmark observation for remote sensing radiance calibration uncertainty from 7% to 1%-2% across the provision of possibility given the polarization of " strong light weakening, weak light enhancement".

Translated title of the contributionOptical polarized effects for high-resolution quantitative remote sensing and new polarization remote sensing fields
Original languageChinese (Traditional)
Pages (from-to)901-916
Number of pages16
JournalNational Remote Sensing Bulletin
Volume22
Issue number6
DOIs
StatePublished - 25 Nov 2018
Externally publishedYes

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