The successful launch of the Chinese high spatial resolution hyperspectral satellite TianGong-1 (TG-1) opens up new possibilities for applications of remotely-sensed satellite imagery. One of the main goals of the TG-1 mission is to provide observations of surface attributes at local and landscape spatial scales to map urban land cover accurately using the hyperspectral technique. This study at...

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 imagery has emerged as a popular sensing modality for a variety of applications, and sparsity based methods were shown to be very effective to deal with challenges coming from high dimensionality in most hyperspectral classification problems. In this work, we challenge the conventional approach to hyperspectral classification, that typically builds sparsity-based classifiers direc...

Hyperspectral imaging is increasingly used in various environmental measurement applications. Airborne hyperspectral sensors enables ground sampling distances (GSD) below 1 meter with high spectral resolution. In order to utilize this data in quantitative remote sensing applications, an accurate radiometric correction of the imagery has to be performed. In this article we present a radiometric ...

Time-lapse hyperspectral imaging technology has been used for various remote sensing applications due to its excellent capability of monitoring regions of interest over a period of time. However, large data volume of fourdimensional hyperspectral imagery demands for massive data compression techniques. While conventional 3D hyperspectral data compression methods exploit only spatial and spectra...

Late in 1995 we organized a hyperspectral data acquisition using the Naval Research Laboratory’s Hyperspectral Digital Imagery Collection Experiment sensor system over Fort Hood, Texas. This acquisition resulted in hyperspectral data with a nominal 2 meter ground sample distance collected with 210 spectral samples per pixel. This paper describes current quantitative classification results for m...

1 This work was sponsored by the U.S. National Imagery and Mapping Agency, under Air Force Contract F19628-95-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and not necessarily endorsed by the U.S. Air Force Abstract – We present work on methods and user interfaces developed for interactive mining for Feature Foundation Data (e.g. roads, rivers, orc...

My colleagues and I are developing and evaluating a new technique for the extraction of environmental information including water-column inherent optical properties (IOPs) and shallowwater bathymetry and bottom classification from remotely-sensed hyperspectral ocean-color spectra. We address the need for rapid, automated interpretation of hyperspectral imagery. The research issues center on dev...

We demonstrate the applicability of integrated sensing and processing decision trees (ISPDTs) methodology to a set of digital mirror array (DMA) hyperspectral imagery. In particular, we demonstrate that ISPDTs can be used to detect and localize targets by using just a few DMA Hadamard frames, so that an entire hyperspectral data cube need not be collected to successfully perform the given task....