Hyperspectral Imagery and Multispectral Imagery Analysis Spectrometer
Hyperspectral Imagery and Multispectral Imagery Analysis Spectrometer
Multispectral remote sensing involves the acquisition of visible, near-infrared and short-wave infrared images in several broad bands.
Different materials reflect and absorb differently at different wavelengths.Thus, materials can be distinguished by their spectral reflectance characteristics observed in these remote sensing images, whereas direct identification is usually not possible.
Hyperspectral and multispectral imaging
The hyperspectral imaging system captures images from more than one hundred continuous spectral bands.While multispectral images can be used to distinguish land surface features and landscape patterns, hyperspectral images can be used to identify and characterize materials.In addition to drawing material distribution maps, evaluating individual pixels is often useful for detecting unique objects in a scene.
Hyperspectral sensors have advantages over multispectral sensors in recognition and quantification of molecular absorption.
The hyperspectral resolution of the hyperspectral imager allows the detection, identification and quantification of surface materials, as well as the inference of biological and chemical processes.
Remote sensing applications:
Developed areas of scientific application include geological and mineral exploration;Forestry;Oceans, coastal areas, inland waters and wetlands;Agriculture;Ecological;There are also many military applications in camouflage, coastal zone mapping and mine detection.
For these applications ground truth signatures that are collected on the spot and indexed in the spectral library are essential for many analytical methods.
Although image processing packages typically include basic spectral libraries, different libraries of applications containing spectra of specific materials that appear in the target field domain greatly improve the accuracy of the generated interpretations.
Vegetation spectra are influenced by a wide range of environmental conditions, so that it is difficult to adequately represent such variations without collecting field spectra at a particular location.
Optosky's Remote Sensing solution
The FieldSpectrometer is the market's leading spectrometer, and scientists around the world rely on it for various applications in the natural environmentIt can analyze the performance of various remote sensing images and convert the measurement results into immediate feedback.
Field measurements carried out by FieldSpectrometer maximizes the information obtained from satellite, aircraft and UAV imagesIts intuitive user interface allows you to easily configure and control the instrument to perform the required measurements.
Related News
Precision fertilization by UAV for rice at tillering stage in cold region based on hyperspectral remote sensing prescription map
2023-02-01 375New product|recommendation-GF900 UAV-borne laser methane telemetry system
2023-08-30 54Application of UAV-hyperspectral imaging for rice growth monitoring
2023-01-18 508Application of hyperspectral camera in industrial inspection
2023-01-17 337Estimation Scheme of Rice Yield Based on UAV Hyperspectral Images
2023-01-17 287Surveillance of pine wood nematode disease based on satellite remote sensing images
2023-01-16 315UAV forest fire patrol protection plan
2023-01-16 318Application of Hyperspectral Imager in Disguised Target Recognition(part 2)
2023-01-13 356Application of hyperspectral imager in detection of exogenous pests in jujube fruit
2023-01-11 375Application of UAV Hyperspectral in Garbage Sorting
2023-01-10 343Application of Hyperspectral Imager in Disguised Target Recognition(part 1)
2023-01-10 306What is the hyperspectral imaging?
2023-01-05 334Study on the degree of damage to the Asian carlocust with hyperspectral remote sensing model
2023-01-03 300Nitrogen detection in cotton leaves based on hyperspectral
2022-12-23 288FAQ_HYPERSPECTAL IMAGER FAQ
2022-08-22 953Using ATHL9010 to estimate above-ground carbon stocks at the single-tree scale in subtropical forests
2022-02-25 1083Airborne Hyperspectral Imaging in Early Monitoring of Pine Wood Nematode
2022-01-14 877A Study on Eutrophication of Lake Based on Hyper-spectraI Remote
2022-01-07 628Application of Hyperspectral in the Construction of Hongshan Polymetallic Prospecting Model
2022-01-07 580Vegetation Classification of Alpine Grassland in Qinghai Lake Basin Based on HSI hyperspectral remote sensing data
2022-01-07 614