AFRL Fields Web-Based Tool for Evaluating Image Quality Published Dec. 11, 2006 By Plans and Programs Directorate AFRL/XP WRIGHT-PATTERSON AIR FORCE BASE, Ohio -- AFRL engineers conceived, designed, and developed an online image-quality evaluation tool to fulfill a critical need associated with the creation of an autonomous approach and landing capability (AALC). The AALC encompasses sensor, human, and air vehicle considerations and thus employs an interdisciplinary approach for capturing both the hardware and software aspects and the human-use characteristics required to field a cost-effective and reliable sensor system. AFRL's online interactive survey tool provides the means to test the informational quality of images derived by the various sensor platforms proposed for the AALC. Sensors validated by the survey tool will permit Air Force assets to safely approach, land, and taxi in conditions of zero visibility at remote, austere airfields lacking ground-based navigation aids. Additionally, the Web-based tool provides the ability to collect data from evaluators in remote or deployed locations, achieving considerable savings in travel and logistical expenses. Nine current and former transport/tanker pilots, including one individual deployed to Afghanistan, successfully tested the Web link and evaluated 30 infrared runway images. The evaluators completed a three-part review using a six-point adequacy scale, targeting general scenes of the runway, focusing on a specific aspect or item of interest in the scene, and requesting an overall assessment. Based on these evaluation results, AFRL scientists were able to effectively discriminate among several sensor packages and define important design considerations, as well as identify the package that provided the best information for aiding aircrew decision making. AFRL's Web-based survey tool has proven itself as a crucial component for the development and eventual implementation of the 2004 Air Mobility Master Plan supporting US Defense Planning Guidance. The tool has generated interest within and outside the sensor community as a versatile, user-friendly, and self-contained assessment resource that can contribute to the design and development of many image-based warfighter systems.