With the incessant expansion of applications and the frequent update of the software,
Science Gateway for Massive Remote Sensing Image Processing (SGMRSIP), developed …

The growth of the W eb has resulted in the W eb‐based sharing of distributed geospatial
data and computational resources. The G eospatial P rocessing W eb (G eo PW) described …

Recent advances in very high resolution (VHR) earth observation (EO) techniques have led
to a massive increase in data volumes to be processed. These remote sensing (RS) …

With the progress of researches on the integration of Geographic Information System (GIS)
and Remote Sensing (RS), digital earth, and information sharing, to publish RS images on …

Till now, applications of many kinds of satellite images have been accentuated in the
datacentric scientific studies, researches regarding system development and concerned …

The rapid processing of remote sensing (RS) images is essential in many large-scale real-
time monitoring, such as meteorological monitoring and natural disaster warning. However …

The launch of the ZY-3 surveying and mapping satellite (ZSMS) by China has resulted in a
significant increase in the volume of image data collected for subsequent processing. In this …

With the continuous development of remote sensing technology, the data volume of remote
sensing images has increased exponentially, resulting in many difficulties in the storage …

As a result of Earth observation (EO) entering the era of big data, a significant challenge
relating to by the storage, analysis, and visualization of a massive amount of remote sensing …

Big data processing is now the primary mission in remote sensing processing, fortunately,
cloud computing provides a feasible approach to perform it efficiently. But the work of …