Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery pre-processing techniques, analysis and application for land use mapping. The hyperspectral data consists of 242 bands out of which 196 calibrated/useful bands are available for hyperspectral applications. Atmospheric correction applied to the hyperspectral calibrated bands make the data more usef...

Hyperspectral data contain a large volume of information. This abundance of data is hard to exploit due to high computational cost involved in processing this data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional data. In this paper, a new methodology has been proposed that is based on exist...

Systolic arrays can be used in many different applications in order to improve performance. In particular, digital image processing algorithms are suitable to be implemented by systolic structures, since basic image manipulation operations are usually repetitive and can be mapped into a rectangular systolic structure. In this chapter we discuss the application of systolic arrays to speed up the...

I n recent years, it has become clear that hyperspectral imaging has formed a core area within the geoscience and remote sensing community. Armed wi th advanced optical sensing technology, hyperspectral imaging offers high spectral resolution—a hyperspectral image can contain more than 200 spectral channels (rather than a few channels as in multispectral images), covering visible and near-infra...

Hyperspectral imaging is an important visual modality with growing interest and range of applications. The latter, however, is hindered by the fact that existing devices are limited in either spatial, spectral, and/or temporal resolution, while yet being both complicated and expensive. We present a low cost and fast method to recover high quality hyperspectral images directly from RGB. Our appr...

Low-cost, miniaturized hyperspectral imaging technology is becoming available for small unmanned aerial vehicle (UAV) platforms. This technology can be efficient in carrying out small-area inspections of anomalous reflectance characteristics of trees at a very high level of detail. Increased frequency and intensity of insect induced forest disturbance has established a new demand for effective ...

Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images are extremely high-dimensional, and require advanced on-board processing algorithms able to satisfy near real-time constraints in applications such as wildland fire monitoring...

Fusion of remote sensing data from multiple sensors has been remarkably increased for classification. This is because, additional sources may provide more information, and fusion of different information can produce a better understanding of the observed site. In the field of data fusion, fusion of light detection and ranging (LIDAR) and optical remote sensing data for land cover classification...

Multi-spectral and hyperspectral sensors have been deployed on airborne platforms for many years. Typical scenarios for airborne collection of spectral data involve over-flights of target areas followed by ground-based data calibration and exploitation. With the advent of flight-qualified, high-performance, parallel computing hardware, however, practical near real-time processing and exploitati...