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Advanced Land Imager Assessment System

Title: Advanced Land Imager Assessment System
Authors: Chander, Gyanesh; Christopherson, Jon; Choate, Mike; Morfitt, Ron; Nelson, Jim; Storey, James; Ong, Lawrence; Schweiss, Robert; Hollaren, Doug; Markham, Brian; Nelson, Shar; Kaita, Ed; Levy, Raviv; Ruggles, Tim; Helder, Dennis
Source: CASI
Publication Year: 2008
Collection: NASA Technical Reports Server (NTRS)
Subject Terms: Geophysics
Subject Geographic: Unclassified; Unlimited; Publicly available
Description: The Advanced Land Imager Assessment System (ALIAS) supports radiometric and geometric image processing for the Advanced Land Imager (ALI) instrument onboard NASA s Earth Observing-1 (EO-1) satellite. ALIAS consists of two processing subsystems for radiometric and geometric processing of the ALI s multispectral imagery. The radiometric processing subsystem characterizes and corrects, where possible, radiometric qualities including: coherent, impulse; and random noise; signal-to-noise ratios (SNRs); detector operability; gain; bias; saturation levels; striping and banding; and the stability of detector performance. The geometric processing subsystem and analysis capabilities support sensor alignment calibrations, sensor chip assembly (SCA)-to-SCA alignments and band-to-band alignment; and perform geodetic accuracy assessments, modulation transfer function (MTF) characterizations, and image-to-image characterizations. ALIAS also characterizes and corrects band-toband registration, and performs systematic precision and terrain correction of ALI images. This system can geometrically correct, and automatically mosaic, the SCA image strips into a seamless, map-projected image. This system provides a large database, which enables bulk trending for all ALI image data and significant instrument telemetry. Bulk trending consists of two functions: Housekeeping Processing and Bulk Radiometric Processing. The Housekeeping function pulls telemetry and temperature information from the instrument housekeeping files and writes this information to a database for trending. The Bulk Radiometric Processing function writes statistical information from the dark data acquired before and after the Earth imagery and the lamp data to the database for trending. This allows for multi-scene statistical analyses.
Document Type: other/unknown material
File Description: application/pdf
Language: unknown
Relation: Document ID: 20080048065; http://hdl.handle.net/2060/20080048065
Availability: http://hdl.handle.net/2060/20080048065
Rights: Copyright, Distribution as joint owner in the copyright
Accession Number: edsbas.68BB9776
Database: BASE