Massive remote sensing image fast processing is one of the important tasks for remote sensing image applications, it is not only data intensive but also computation intensive, which arises our interest in distributed parallel processing by grid computing., The novel grid computing technology seeks to aggregate computing resources which are geographically distributed or heterogeneous for computational intensive applications. In this paper, a grid-based image processing testbed is established for remote sensing image distributed processing, and middleware is developed, which was applied to remote sensing image distributed deblurring processing. Preliminary experimental results show the processing efficiency is greatly improved, which demonstr...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract: Satellite image processing is both data and computing intensive, and, therefore, it raises...
Computing cluster technology is widely applied in remote sensing data parallel processing. This arti...
Massive remote sensing image fast processing is one of the important tasks for remote sensing image ...
With advances in remote-sensing technology, the large volumes of data cannot be analyzed efficiently...
With the development of remote sensing technological, the data of remote sensing has become even hug...
As a special type of digital image, remotely sensed images are playing increasingly important roles ...
Processing image data generated by new remote sensing systems can severely tax the computational lim...
Remote sensing images have been widely used in various fields, how to process remote sensing images ...
We investigate the use of a flexible grid architecture for hyperspectral image processing. Recording...
This chapter presents an overview of a Grid Computing Environment de- signed for remote sensing. Com...
AbstractThis research is satisfied with the needs of remote sensing massive data real time and fast ...
Remote sensing is the acquisition of physical response from an object without touch or contact, ofte...
Previous studies indicate that parallel computing for hyperspectral remote sensing image generation ...
According to the current level of Artificial Intelligence, it is impossible to establish a fully aut...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract: Satellite image processing is both data and computing intensive, and, therefore, it raises...
Computing cluster technology is widely applied in remote sensing data parallel processing. This arti...
Massive remote sensing image fast processing is one of the important tasks for remote sensing image ...
With advances in remote-sensing technology, the large volumes of data cannot be analyzed efficiently...
With the development of remote sensing technological, the data of remote sensing has become even hug...
As a special type of digital image, remotely sensed images are playing increasingly important roles ...
Processing image data generated by new remote sensing systems can severely tax the computational lim...
Remote sensing images have been widely used in various fields, how to process remote sensing images ...
We investigate the use of a flexible grid architecture for hyperspectral image processing. Recording...
This chapter presents an overview of a Grid Computing Environment de- signed for remote sensing. Com...
AbstractThis research is satisfied with the needs of remote sensing massive data real time and fast ...
Remote sensing is the acquisition of physical response from an object without touch or contact, ofte...
Previous studies indicate that parallel computing for hyperspectral remote sensing image generation ...
According to the current level of Artificial Intelligence, it is impossible to establish a fully aut...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract: Satellite image processing is both data and computing intensive, and, therefore, it raises...
Computing cluster technology is widely applied in remote sensing data parallel processing. This arti...