TY - GEN
T1 - Hardware implementation of image space reconstruction algorithm using FPGAs
AU - Morales, Javier
AU - Medero, Nelson
AU - Santiago, Nayda G.
AU - Sosa, Julio
PY - 2006
Y1 - 2006
N2 - The Image Space Reconstruction Algorithm (ISRA) has been used in tvyperspectral imaging applications to monitor changes in the environment and specifically, changes in coral reef, mangrove, and sand in coastal areas. This algorithm is one of the set of iterative methods used in the hyperspectral imaging area to estimate abundance. However, ISRA is highly computational, making it difficult to obtain results in a timely manner. In this paper we present the use of specialized hardware in the implementation of this algorithm, specifically the use of VHDL and FPGAs. The implementation of ISRA algorithm has been divided into hardware and software units. The hardware units were implemented on a Xilinx Virtex II Pro XC2VP30 FPGA and the software was implemented on the Xilinx Microblaze soft processor. This illustrates that this approach is a design alternative for iterative hyperspectral imaging algorithms. The main bottleneck found in this implementations was data transfer.
AB - The Image Space Reconstruction Algorithm (ISRA) has been used in tvyperspectral imaging applications to monitor changes in the environment and specifically, changes in coral reef, mangrove, and sand in coastal areas. This algorithm is one of the set of iterative methods used in the hyperspectral imaging area to estimate abundance. However, ISRA is highly computational, making it difficult to obtain results in a timely manner. In this paper we present the use of specialized hardware in the implementation of this algorithm, specifically the use of VHDL and FPGAs. The implementation of ISRA algorithm has been divided into hardware and software units. The hardware units were implemented on a Xilinx Virtex II Pro XC2VP30 FPGA and the software was implemented on the Xilinx Microblaze soft processor. This illustrates that this approach is a design alternative for iterative hyperspectral imaging algorithms. The main bottleneck found in this implementations was data transfer.
UR - http://www.scopus.com/inward/record.url?scp=34748813641&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2006.382091
DO - 10.1109/MWSCAS.2006.382091
M3 - Contribución a la conferencia
AN - SCOPUS:34748813641
SN - 1424401739
SN - 9781424401734
T3 - Midwest Symposium on Circuits and Systems
SP - 433
EP - 436
BT - Proceedings of the 2006 49th Midwest Symposium on Circuits and Systems, MWSCAS'06
T2 - 2006 49th Midwest Symposium on Circuits and Systems, MWSCAS'06
Y2 - 6 August 2006 through 9 August 2007
ER -