With the advantage of acquiring spatial information and more spectral information, Hyperspectral imager is widely applied in the fields of earth-observation, precision agriculture, etc. In order to improve the quantitative ability of hyperspectral imagery, accurate radiometric and spectral calibrations are necessary. Shifts in channel center wavelengths and changes in spectral resolution may occur before and during flight. Base on calibration in laboratory, on-board calibration is necessary for acquiring the detector's actual center wavelengths and spectral resolution. In the paper, authors propose a new method for on-site spectral calibration of hyperspectral imager with man-made target. An experiment was carried out in Urad Front Ban...
The Calibration Home Base (CHB) at the Remote Sensing Technology Institute of the German Aerospace C...
A complete modeling of a site may require information data such as a land cover. Hyperspectral airbo...
Both the power and the challenge of hyperspectral technologies is the very large amount of data prod...
Imagery acquired with unmanned aerial vehicles (UAVs) has a great potential for incorporation into n...
Remote Sensing plays very important role in many different study fields, like hydrology, crop manage...
A method for the spectral calibration of hyperspectral imagery is presented using atmospheric absorp...
Remote Sensing Group (RSG) at the University of Arizona has a long history of using ground-based tes...
VTT Technical Research Centre of Finland has developed Tunable Fabry-Perot Interferometer (FPI) base...
Quantification of spectral data is of great interest in many fields of science, since it can provide...
At 3:22 am UTC on 22 December 2016, two wide-swath push broom hyperspectral imaging microsatellites,...
The development of a hyperspectral imager (HSI) made from commercial off-the-shelf (COTS) parts enab...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
Two wide-swath hyperspectral imaging microsatellites, SPARK-01 and -02, were launched on 22 December...
One of the initial steps in the preprocessing of remote sensing data is the atmospheric correction o...
In the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral calibration and characterizati...
The Calibration Home Base (CHB) at the Remote Sensing Technology Institute of the German Aerospace C...
A complete modeling of a site may require information data such as a land cover. Hyperspectral airbo...
Both the power and the challenge of hyperspectral technologies is the very large amount of data prod...
Imagery acquired with unmanned aerial vehicles (UAVs) has a great potential for incorporation into n...
Remote Sensing plays very important role in many different study fields, like hydrology, crop manage...
A method for the spectral calibration of hyperspectral imagery is presented using atmospheric absorp...
Remote Sensing Group (RSG) at the University of Arizona has a long history of using ground-based tes...
VTT Technical Research Centre of Finland has developed Tunable Fabry-Perot Interferometer (FPI) base...
Quantification of spectral data is of great interest in many fields of science, since it can provide...
At 3:22 am UTC on 22 December 2016, two wide-swath push broom hyperspectral imaging microsatellites,...
The development of a hyperspectral imager (HSI) made from commercial off-the-shelf (COTS) parts enab...
Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acq...
Two wide-swath hyperspectral imaging microsatellites, SPARK-01 and -02, were launched on 22 December...
One of the initial steps in the preprocessing of remote sensing data is the atmospheric correction o...
In the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral calibration and characterizati...
The Calibration Home Base (CHB) at the Remote Sensing Technology Institute of the German Aerospace C...
A complete modeling of a site may require information data such as a land cover. Hyperspectral airbo...
Both the power and the challenge of hyperspectral technologies is the very large amount of data prod...