What is hyperspectral imaging?
hyperspectral imaging is a technique that adds a color third dimension to a reflected image that contains spectral data data. It can be used in applications such as topographic analysis of mineral deposits or farms, military supervision, analysis of medical tissue and archaeological mapping. Hyperspectral imaging provides a lot of light and compositional data from imaging sensors in the field, laboratory and even in space.
spectral imaging analysis of reflectivity analysis or wavelength data. It could use technology such as mirrors, prisms, lenses and light sensors, similar to components and chips for devices (CCD) inside the digital camera. Combined with remote display technology, spectral displaying is used to measure the wavelengths of the electromagnetic spectrum scattered by the target material. A devices called spectrometers and spectraradiometers record changes in the energy wavelength of light reflecting the target and uThey can be able to observers dyperspelectral displaying Ethermine Compositions makeup material or landscape. This data set is stacked in a "hyperspectral cube", such as a pile of images in which each pixel contains its spectral data. Multispectral display combines tens or hundreds of electromagnetic (EM) belts, but hyperspectral cubes can process data from thousands of belts.
Multispectral display usually uses data from multiple sensors, while hyperspectral data is often collected as a set of adjacent belts from one sensor. The more data, the clearer the picture. The brighter the picture, the easier it is to determine from what substances or substances the object is created.
Some hyperspectral display applications include chemical analysis, fluorescent microscopes, thermal imaging, archaeological discovery and forensic examination. Medical hyperspectral imaging extremeThe acts of the visual wavelength of the spatial area and synthesize slices on the "topographic map" prepared for a clear medical analysis of the properties of tissue for various diagnoses or research purposes. This imaging technology can capture more EM bands than visible light, including infrared and ultraviolet wavelengths, so it can improve information that could otherwise be visible to the naked eye. All materials contain spectral signatures that can provide essential traces for a number of applications in many fields.
For example, by understanding the differences in the chemical composition of soil and plant growth, forensic investigators are able to identify otherwise unknown graves. This is because decomposition distinguishes the spectra of plant growth from their surroundings. Simply put, another chlorophyll contained in the plants fertilized by the decomposition of Makes is much more visibly in hyperspectral data than the naked eye.
Remote scanning and digital displaying can be continuously found new applications. The special library livedThe well -known spectral data on materials have been increasingly made available to scientists and civilians by organizations such as the National Aviation and Space Administration of the United States (NASA). New applications for this technique have been constantly developed in many industries. Agricultural use may include determining the varieties of plants, water and nutrients and early detection of the disease. As technology becomes more accessible to the public, new applications are expected to be constantly developed for a great advantage over the relatively limited analytical power of single -point spectroscopy.
Thermal display technology has long been used in military or air supervision. For this reason, special techniques designed to thwart this technology have been developed for masking thermal signatures of ground forces from the air. Hyperspectral imaging can beat these countermeasures with a lot of spectral belt measurement and offer an accurate analysis that can occur spectral "fingerprints" of the target.
wholeThe spectrum is collected for each pixel of information, so the observer does not require any previous knowledge of the material to analyze. Computer processing may include all available data for complete sample analysis. This requires reserved computing sources, including costly sensitive devices and large storage capacity. Hyperspectral cubes are multidimensional data sets that require the processing of hundreds of megabytes.