Optical images with spectral resolution in the order of 10 nanometers are called hyperspectral images.
Hyperspectral sensors, i.e. imaging spectrometers, mounted on different space platforms (like airplanes, UAV and satellites), simultaneously image the target region in the ultraviolet, visible, near-infrared and mid-infrared bands of the electromagnetic spectrum with dozens to hundreds of continuous and subdivided spectral bands.
While obtaining the spatial information of earth surface, hyperspectral images also obtain the spectral information. Compared with multispectral Remote sensing images, hyperspectral images not only greatly improve the information richness, but also provide a more reasonable and effective analysis and processing of this type of spectral data in processing technology.
According to the different performance of different substances in different bands of spectral signals, a curve about the spectral bands and spectral values can be drawn. According to the difference of the curves, we can classify different substances in hyperspectral images.
Aerial photos: the basics Aerial photographs are a little different than the photos you might take with your own camera. The primary aerial photographic product is a high-resolution (39 megapixel) digital color photograph. Depending on the camera lens, photos can be taken in...
AUTHORS: Leah A. Wasser How LiDAR Works LiDAR is an active remote sensing system. An active system means that the system itself generates energy - in this case, light - to measure things on the ground. In a LiDAR system, light is emitted from a rapidly firing laser. You can imagine...
On the afternoon of April 30, the first press conference of the 2020 Mount Everest elevation measurement was held at the Everest Base Camp, and the 2020 Mount Everest elevation measurement was officially launched. This year marks the 60th anniversary of the first successful summit of ...
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