Paper Info
Title
Automated hyperspectral target detection and change detection from an airborne platform: Progress and challenges
Abstract
Over the past five years, the Air Force Research Laboratory and the Space Computer Corporation have supported the Civil Air Patrol in the development of the Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) system, which combines a visible/near infrared hyperspectral imaging system, high-resolution panchromatic imaging sensor, a real-time on-board target detection processor and other supporting elements to aid in civilian search-and-rescue missions. The procurement and fielding of the ARCHER system provided useful practical experience in terms of moving hyperspectral remote sensing into an operational context, including areas where further advances are needed. It also provided an airborne collection platform with which to experiment and refine target detection and change detection algorithms to gain greater insight into detection performance. Many of the system and algorithm characteristics and refinements have been reported previously in the literature. This paper attempts to go one step further in providing several of the key lessons-learned from CAP ARCHER experience, with a specific aim to illuminate the areas where further progress is needed and suggest approaches that may address these remaining shortfalls.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5654157
IGARSS
Keywords
Field
DocType
geophysical image processing,image resolution,image sensors,infrared imaging,object detection,remote sensing,CAP ARCHER system,air force research laboratory,airborne real time cueing hyperspectral enhanced reconnaissance system,automated hyperspectral target detection,change detection,civil air patrol,civilian search-rescue mission,high resolution panchromatic imaging sensor,hyperspectral remote sensing,real time onboard target detection processor,space computer corporation,visible near infrared hyperspectral imaging system
Computer vision,Object detection,Change detection,Image sensor,Panchromatic film,Computer science,Clutter,Remote sensing,Hyperspectral imaging,Artificial intelligence,Procurement,Change detection algorithms
Conference
ISSN
Citations 
PageRank 
2153-6996
1
0.48
References 
Authors
6
3
Name
Order
Citations
PageRank
Michael T. Eismann132619.71
Joseph Meola2725.54
Alan D. Stocker3542.55