Unmanned aerial systems (UAS) equipped with electro-optic (EO) full motion video (FMV) sensors often need to transmit image sequences over a limited communications channel, requiring either intense compression, reduced frame rate, or reduced resolution to reach the receiver. In an attempt to improve rate-distortion performance of common video compression algorithms, such as H.264/AVC, several groups are developing compres- sion methods to improve video quality at low bitrates. Concepts of these next generation methods, including H.265/HEVC, Google’s VP9, and Xiph.org’s Daala are examined in contrast to H.264/AVC, BBC’s Dirac, and Motion-JPEG2000 within the context of aerial surveillance. We present a compression performance analysis of these algorithms according to PSNR.

Date Published: 20 May 2015
PDF: 7 pages
Proc. SPIE 9464, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI, 94640V (20 May 2015); doi: 10.1117/12.2181939

Published in SPIE Proceedings Vol. 9464:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI
Tien Pham; Michael A. Kolodny, Editor(s)