Paper
12 March 2019 Based on multi-scale hyperspectral near ground remote to sensing the quality of Southern Xinjiang jujube
Huaping Luo, Xueping Chai, Chong Chen
Author Affiliations +
Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110232H (2019) https://doi.org/10.1117/12.2520682
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China
Abstract
With multi-scales Hyperspectral Information processing, to explore the water quality change information of jujube large area outdoor. with near the ground remote sensing monitoring method. outdoor Zaoyuan hyperspectral image atmospheric correction, PCA, and other basic treatment methods, selection of jujubes spectra and characteristic wavelengths corresponding to labeled hyperspectral database. To mark and collect jujubes in the field of view of hyperspectral camera, By analyzing and correcting the spectral consistency of indoor and outdoor jujubes, the transfer between outdoor and indoor near infrared spectrum library was carried out. Combining the indoor quality measurement of southern jujubes and spectral correlation analysis method for extracting jujubes like spectral structure and quality feature information, the relationship changes between the different scales of spatial resolution and spectral resolution of the spectrum the conclusions, The scale of Single jujube and The scale of Canopy jujube tree indoor hyperspectral detection results are in good agreement, indicating that nearly ground to carry out indoor hyperspectral spectral consistency is good, through the spectrum image out door spectral database docking and model transfer. The establishment of the high spectral quality characteristics of jujubes perception model, exploring the growth process of jujubes outdoor large area change information of water quality with near ground remote sensing. provides an important reference in the future.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huaping Luo, Xueping Chai, and Chong Chen "Based on multi-scale hyperspectral near ground remote to sensing the quality of Southern Xinjiang jujube", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110232H (12 March 2019); https://doi.org/10.1117/12.2520682
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Remote sensing

Image quality

Hyperspectral imaging

Cameras

Data modeling

Optical coherence tomography

Agriculture

Back to Top