Selection of Spectral Resolution and Scanning Speed for Detecting Green Jujubes Chilling Injury Based on Hyperspectral Reflectance Imaging
Hyperspectral imaging is a non-destructive method for the detection of chilling injury in fruit. However, the limitation of this technique is the lacking of an appropriate working parameters and a feasible discriminating model for chilling on-line sorting. This research was aimed to select the optim...
Main Authors: | Huanda Lu, Xinjie Yu, Lijuan Zhou, Yong He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/8/4/523 |
Similar Items
-
Hyperspectral Imaging System with Rotation Platform for Investigation of Jujube Skin Defects
by: Quoc Thien Pham, et al.
Published: (2020-04-01) -
Multi-Parameter Health Assessment of Jujube Trees Based on Unmanned Aerial Vehicle Hyperspectral Remote Sensing
by: Yuzhen Wu, et al.
Published: (2023-08-01) -
Locally Weighted Discriminant Analysis for Hyperspectral Image Classification
by: Xiaoyan Li, et al.
Published: (2019-01-01) -
Study on Black Spot Disease Detection and Pathogenic Process Visualization on Winter Jujubes Using Hyperspectral Imaging System
by: Mengwei Jiang, et al.
Published: (2023-01-01) -
Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves
by: Pierre Chatelain, et al.
Published: (2021-11-01)