Abstract Hyperspectral remote sensing already is important in geoscientific research the fields of geology, soil, exploration and mining. New hyperspectral satellite systems are operation (e.g. PRISMA DESIS; Caporusso et al. 2020; Alonso (Sensors 19(20):4471–4515, 2019)) more planned e.g. European Copernicus Next Generation Satellite CHIME (Nieke Rast 2018). The German system EnMAP was successf...

The objective of this study is to establish a methodological proposal in order to carry out qualitative systematic reviews and apply these findings to a review of Omega-3 Fatty Acids with respect to health and illness. Based on a methodological proposal, a general protocol was developed to provide a sound basis for the preparation of the reviews in this journal supplement. A systematic techniqu...

Hyperspectral image contains fine spectral and spatial resolutions for generating accurate land use and land cover maps. Supervised classification is the one of method used to exploit the information from the hyperspectral image. The traditional supervised classification methods could not be able to overcome the limitations of the hyperspectral image. The multiple classifier system (MCS) has th...

Recent advances in heterogeneous high performance computing (HPC) have opened new avenues for demanding remote sensing applications. Perhaps one of the most popular algorithm in target detection and identification is the automatic target detection and classification algorithm (ATDCA) widely used in the hyperspectral image analysis community. Previous research has already investigated the mappin...

Processing line-by-line and in real-time can be convenient for some applications of line-scanning hyperspectral imaging technology. Some types of processing, like inverse modeling and spectral analysis, can be sensitive to noise. The MNF (minimum noise fraction) transform provides suitable denoising performance, but requires full image availability for the estimation of image and noise statisti...

The Los Menucos District, Rio Negro, Argentina, provides an excellent case history of a complex epithermal gold system mapped and explored using a combination of field mapping and multispectral/hyperspectral remote sensing. The district offers a host of argillic and advanced argillic alteration minerals at the surface, many of which are difficult to identify visually. A strategy utilizing regio...

Hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acquired from a given scene (or specific object) at a short, medium, or long distance by an airborne or satellite sensor [1]. The concept of hyperspectral imaging originated at NASA’s Jet Propulsion Laboratory in California with the development of the Airborne visible infrared imaging spectrometer (...

During a surgery, the inevitable presence of blood covering the surgical field demands efforts to keep the area as clean as possible. A new hyperspectral data processing method is being developed to deliver clearer images to the surgeon. The analysis of optical absorption properties of the blood and water indicates that, between the visible and near infrared spectral regions, some valuable info...

Based on hyperspectral data mining techniques and characteristics of imaging spectrum, Hyperion satellite hyperspectral data are used to study the diagnosable spectral signatures and quantitatively extract the absorption spectral features of sandstone-hosted uranium deposits in northern China. In terms of information extraction approach and the processing method of extra-abundance data, we have...