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Sep
16
Detecting the Rice Leaf Blast by Hyperspectral
Using leaf reflectance spectroscopy to detect RLB infection in asymptomatic, early and mild stages of disease.
Sep
16
Quantification of Margalefidinium polykrikoides Blooms by Using Airborne Hyperspectral Imagery
To minimize the damage caused by red tides, their detailed spatial distribution must be understood with extreme accuracy. Airborne hyperspectral imaging can provide a lot of information about the optical characteristics of red tide species and help quantify red tide cell abundance
Sep
16
Using Hyperspectral Imaging Classifying Soybean Varieties
In recent years, hyperspectral imaging has been widely used in soybean varieties classification because of its advantages of rapid nondestructive measurement. Image acquisition, preprocessing, and feature selection are used to obtain different types of soybean hyperspectral features
Sep
10
Using UAV Hyperspectral Imagery and LiDAR Data to Detect Pine Wilt Disease
Drone remote sensing is efficient and flexible, and can be equipped with high-resolution remote sensing sensors. In addition, lidar can accurately collect three-dimensional information of the target, greatly enhancing its potential in forest health monitoring.
Sep
10
How to Use A Hyperspectral Imager to Monitoring Forest fire
workers used a hyperspectral imager to take hyperspectral images of the fire
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