PDCRS 2011 - 2011 IEEE International Workshop on Parallel and Distributed Computing in Remote Sensing (IEEE PDCRS 2011)

Advances in sensor technology with higher spatial, spectral and temporal resolutions are revolutionizing
the way remote sensing data are collected, managed and processed. This explosion in the amount of
collected information has rapidly introduced new processing challenges. In particular, many remote
sensing applications require the incorporation of high performance computing to address time-critical
applications such as monitoring of natural disasters including earthquakes, volcanoes, and floods, or
tracking of man-induced hazards such as wild-land and forest fires, oil spills and other types of chemical
or nuclear contamination. This is also the case for reconnaissance and surveillance applications in
homeland security and military missions such as target recognition in a battlefield, drug trafficking in
law enforcement, or chemical and biological agent detection in anti-terrorism. These systems and
applications can greatly benefit from high performance computing to speed up data processing, either
after the data has been collected and transmitted to a ground station, or during the data collection
procedure onboard the sensor. Parallel and distributed computing facilities and algorithms as well as
high-performance FPGA and DSP systems have become indispensable tools to tackle the issues of
processing massive remote sensing data. In recent years, GPUs have evolved into highly parallel manycore processors with tremendous computing power and high memory bandwidth to offer two to three
orders of magnitude speedup over the CPUs. A cost-effective GPU computer has become an affordable
alternative to an expensive CPU computer cluster for many researchers performing various scientific
and engineering applications.Topics of Interest
This workshop provides an interdisciplinary forum for exchanging the latest research results and views
in the area of parallel and distributed computing for passive and active remote sensing applications.
Specifically, high-performance computing papers will be solicited in, but not limited to, the following:
? source and channel coding
? sensor onboard data processing
? registration and calibration
? noise estimation and reduction
? target detection and object tracking
? feature extraction
? unmixing, source separation, endmember extraction
? segmentation and classification
? data fusion and super-resolution
? anomaly detection
? data visualization
? radiative tranfer modeling
? land and ocean surface modeling
? geophysical parameter retrieval
? weather and environmental modeling
? remote sensing data assimilation
? efficient data transfer and storage