In order to solve some problems in managing and parallel processing of global expanding remote sensing data, introduces the spatial subdivision organization framework. Firstly, analyzes the spatial properties of subdivision cell and its significant advantages in parallel processing. Then, discusses subdivision template and template parallel processing mode for remote sensing image. And a template-based parallel processing flow of subdivision remote sensing image is proposed. The special application example is carried out to extract crop planting area. The initial experiment of extracting wheat planting area in Xuchang shows: compared to the common ERDAS or ENVI software, this method can improve the extraction accuracy and processing speed t...
The article describes the possibilities and advantages of using distributed systems in the processin...
Remote sensing data has the property of large volume data, multi-sensor, multi-resolution, multi-spe...
Remote sensing (RS) image segmentation is an essential step in geographic object-based image analysi...
Aiming at the questions of vast data, complex operation, and time consuming processing for remote se...
Remote sensing images have been widely used in various fields, how to process remote sensing images ...
Computing cluster technology is widely applied in remote sensing data parallel processing. This arti...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
This paper presents the method of improving the efficiency of information extraction based on featur...
AbstractA parallel block processing for remote sensed images for classification problem is presented...
Owing to the rapid development of earth observation technology, the volume of spatial information is...
Interest in image mosaicking has been spurred by a wide variety of research and management needs. Ho...
According to the current level of Artificial Intelligence, it is impossible to establish a fully aut...
In order to solve the problem that lacking of an unified organization frame about global remote sens...
AbstractA parallel block processing for remote sensed images for classification problem is presented...
The article describes the possibilities and advantages of using distributed systems in the processin...
Remote sensing data has the property of large volume data, multi-sensor, multi-resolution, multi-spe...
Remote sensing (RS) image segmentation is an essential step in geographic object-based image analysi...
Aiming at the questions of vast data, complex operation, and time consuming processing for remote se...
Remote sensing images have been widely used in various fields, how to process remote sensing images ...
Computing cluster technology is widely applied in remote sensing data parallel processing. This arti...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing...
This paper presents the method of improving the efficiency of information extraction based on featur...
AbstractA parallel block processing for remote sensed images for classification problem is presented...
Owing to the rapid development of earth observation technology, the volume of spatial information is...
Interest in image mosaicking has been spurred by a wide variety of research and management needs. Ho...
According to the current level of Artificial Intelligence, it is impossible to establish a fully aut...
In order to solve the problem that lacking of an unified organization frame about global remote sens...
AbstractA parallel block processing for remote sensed images for classification problem is presented...
The article describes the possibilities and advantages of using distributed systems in the processin...
Remote sensing data has the property of large volume data, multi-sensor, multi-resolution, multi-spe...
Remote sensing (RS) image segmentation is an essential step in geographic object-based image analysi...