-This is the second paper of the series on atmospheric correction of ETM+ land surface imagery. In the first paper, a new algorithm that corrects heterogeneous aerosol scattering and surface adjacency effects was presented. In this study, our objectives are to 1) evaluate the accuracy of this new atmospheric correction algorithm using ground radiometric measurements; 2) apply this algorithm to ...

A night vision colorization technique can produce colorized imagery with a naturalistic and stable color appearance by processing multispectral night vision (NV) imagery. The multi‐ spectral images typically include visual-band (e.g., red, green, and blue (RGB), or intensified) imagery and infrared imagery (e.g., near infrared (NIR) and long wave infrared (LWIR)). Although appropriately false-c...

The extraction of road networks from digital imagery is a fundamental image analysis operation. Common problems encountered in automated road extraction include high sensitivity to typical scene clutter in high-resolution imagery, and Ž . Ž . inefficiency to meaningfully exploit multispectral imagery MSI . With a ground sample distance GSD of less than 2 m per pixel, roads can be broadly descri...

Remote sensing (RS) of plant canopies permits non-intrusive, high-throughput monitoring of plant physiological characteristics. This study compared three RS approaches using a low flying UAV (unmanned aerial vehicle), with that of proximal sensing, and satellite-based imagery. Two physiological traits were considered, canopy temperature (CT) and a vegetation index (NDVI), to determine the most ...

We have continued development of a system for multisensor image fusion and interactive mining based on neural models of color vision processing, learning and pattern recognition. We pioneered this work while at MIT Lincoln Laboratory, initially for color fused night vision (low-light visible and uncooled thermal imagery) and later extended it to multispectral IR and 3D ladar. We also developed ...

Ice storms are a recurring landscape-scale disturbance in the eastern U.S. where they may cause varying levels of damage to upland hardwood forests. High-resolution Ikonos imagery and semiautomated detection of ice storm damage may be an alternative to manually interpreted aerial photography. We evaluated Ikonos multispectral, winter and summer imagery as a tool for detecting forest canopy dama...

Object-based image analysis is becoming increasingly popular in classification of very high resolution (VHR) imagery over urban areas. The spectral resolution of VHR imagery (generally they possesses 1 pan and 4 multispectral bands), however, is limited and insufficient for differentiating many urban land cover classes. Due to the spectral similarity of building roofs, roads and parking lots, s...

Seeing the expected technical improvements as to the spatial and spectral resolution, satellite imagery could more and more provide a basis for complex information systems for recognizing and monitoring even small-scale and short-term structural features of interests within nuclear facilities, for instance construction of buildings, plant expansion, changes of the operational status, undergroun...

This paper presents the research results on the integration approach using a biologically inspired algorithm (LEGION) and a geometrically-inspired method (GAC) for target extraction from multiple-source remote-sensing imageries, specifically EO-1 Hyperion hyperspectral (30-meter resolution), and IKONOS multispectral (4-meter resolution) images. An automatic road-extraction algorithm based on LE...