Massive, large-region coverage, multi-temporal, multi-spectral remote sensing (RS) datasets
are employed widely due to the increasing requirements for accurate and up-to-date …

Synthetic aperture radar (SAR) interferometry has rapidly evolved in the last decade and can
be considered today as a mature technology, which incorporates computationally intensive …

Interest in image mosaicking has been spurred by a wide variety of research and
management needs. However, for large-scale applications, remote sensing image …

The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …

Remote sensing applications in Digital Earth are overwhelmed with vast quantities of remote
sensing (RS) image data. The intolerable I/O burden introduced by the massive amounts of …

Remote sensed imagery mosaicking at large scale has been receiving increasing attentions
in regional to global research. However, when scaling to large areas, image mosaicking …

This book provides the users with quick and easy data acquisition, processing, storage and
product generation services. It describes the entire life cycle of remote sensing data and …

Remote sensing image processing is characterized with features of massive data
processing, intensive computation, and complex processing algorithms. These …

The unprecedented availability of petascale analysis-ready earth observation data has
given rise to a remarkable surge in demand for regional to global environmental studies …

Relative radiometric normalisation (RRN) is a vital step to achieve radiometric consistency
among remote sensing images. Geo-analysis over large areas often involves mosaicking …