Remotely sensed data is widely used in ecological applications because of its great advantages. These advantages are that the measures are being objective, repeatable and serve continuous data of the observed area opposed to traditional field survey based data collection (Zagajewskij et al. 2005). The remote observation of different vegetation species is important and quantitative and qualitati...

* Corresponding author. Abstract – Earth Observation (EO) data in combination with environmental data enables the extraction of important information for environmental management. There is a strong need in standardized and quality controlled data sets and reliable data analysis routines. Recent developments and established work flows at German Aerospace Center (DLR) include standardized pre-pro...

The need for fast hyperspectral data processing methods is discussed. Discussion includes the necessity of faster processing techniques in order to realize emerging markets for hyperspectral data. Several standard hyperspectral image processing methods are presented, including maximum likelihood classification, principal components analysis, and canonical analysis. Modifications of those method...

A combined geometric and radiometric processing chain for hyperspectral data is presented. This paper describes the ortho-rectification solution for the geometric part of the whole problem. A parametric geocoding approach (PARGE) has been chosen. The geometrical model strictly considers all navigational parameters engaging a forward transformation methodology. For the implementation, a number o...

Hyperspectral imaging instruments are capable of collecting hundreds of images, corresponding to different wavelength channels, for the same area on the surface of the Earth. One of the main problems in the analysis of hyperspectral data cubes is the presence of mixed pixels, which arise when the spatial resolution of the sensor is not enough to separate spectrally distinct materials. Hyperspec...

Hyperspectral sensors are devices that acquire images with narrow bands (less than 20nm) with continuous measurement. It extracts spectral signatures of objects or materials to be observed. Hyperspectral have more than 200 bands. Hyperspectral remote sensing has been used over a wide range of applications, such as agriculture, forestry, geology, ecological monitoring, atmospheric compositions a...

This study investigated the viability of quantifying affinity between aggregate and bitumen by means different imaging techniques. Experiments were arranged in accordance with rolling-bottle test, as indicated UNI EN 12697-11, “Test methods for hot bituminous conglomerates—Part 11”. Digital image processing (DIP) techniques have only recently been used such quantification. The data gathered a m...

The rapid development of space and computer technologies allows for the possibility to store huge amounts of remotely sensed image data, collected using airborne and satellite instruments. In particular, NASA is continuously gathering high-dimensional image data with Earth observing hyperspectral sensors such as the Jet Propulsion Laboratory’s airborne visible–infrared imaging spectrometer (AVI...