Aerial Remote Sensing (Aerial RS) image compression & transmission on-board system, not only is the core of Aerial RS supervising, but also the key technology about the security of data obtainment. The requirement of Aerial RS is stricter on the data quality and security. If we transmit the images through some special channels while the images are obtained during the task of Aerial RS, the control center on the ground could acquire the status of the whole Aerial RS system. Besides, it could also backup the images immediately. Image compression & transmission system is the important bridge between the Aerial RS system on-board and the control center. The research group of Aerial RS data processing in Peking University, integrates all...
To solve the algorithm in the image compression of remote sensing than complex, efficiency lower etc...
This paper investigates the application of lossy distributed source coding to high resolution multis...
The paper describes a method for constructing and developing algorithms for compressing hyperspectra...
Because of the higher resolution, the data volume of remote sensing image is very large. To communic...
Because of the higher resolution, the data volume of remote sensing image is very large. To communic...
Data products of optical remote sensing systems are increasingly used in many areas of our everyday ...
Remote sensing sensors are used in various applications from Earth sciences, archeology, intelligenc...
Remote Sensing (RS) plays an important role in modern society. As the Unmanned Aerial Vehicle (UAV) ...
International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, ...
UAVs are unmanned aerial vehicles. UAVs with qualities of robots are called "drones " and ...
In modern photomap systems, images are stored in centralized storage. Choosing a proper compression ...
Abstract—An scheme for the efficient transmission of re-mote sensing satellite (RSS) images is prese...
The paper contains results of analytic research of unmanned aerial vehicles using in agriculture. Th...
Security applications such as management of natural disasters and man-made incidents crucially depen...
The Consultative Committee for Space Data System (CCSDS) defines a standard for the data compression...
To solve the algorithm in the image compression of remote sensing than complex, efficiency lower etc...
This paper investigates the application of lossy distributed source coding to high resolution multis...
The paper describes a method for constructing and developing algorithms for compressing hyperspectra...
Because of the higher resolution, the data volume of remote sensing image is very large. To communic...
Because of the higher resolution, the data volume of remote sensing image is very large. To communic...
Data products of optical remote sensing systems are increasingly used in many areas of our everyday ...
Remote sensing sensors are used in various applications from Earth sciences, archeology, intelligenc...
Remote Sensing (RS) plays an important role in modern society. As the Unmanned Aerial Vehicle (UAV) ...
International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, ...
UAVs are unmanned aerial vehicles. UAVs with qualities of robots are called "drones " and ...
In modern photomap systems, images are stored in centralized storage. Choosing a proper compression ...
Abstract—An scheme for the efficient transmission of re-mote sensing satellite (RSS) images is prese...
The paper contains results of analytic research of unmanned aerial vehicles using in agriculture. Th...
Security applications such as management of natural disasters and man-made incidents crucially depen...
The Consultative Committee for Space Data System (CCSDS) defines a standard for the data compression...
To solve the algorithm in the image compression of remote sensing than complex, efficiency lower etc...
This paper investigates the application of lossy distributed source coding to high resolution multis...
The paper describes a method for constructing and developing algorithms for compressing hyperspectra...