Remote Sensing Technology Institute (IMF)
|
|
Remote Sensing Technology Institute (IMF)
Director: Prof. Richard Bamler
The Remote Sensing Technology Institute (IMF) is located at DLR in Oberpfaffenhofen, Neustrelitz and Berlin-Adlershof. IMF carries out research and development of remote sensing technologies with an emphasis on methodologies, techniques and processing systems for retrieval of information from remote sensing data and archives. The processors it develops function operationally to the largest extent possible so they can be integrated in DFD (German Remote Sensing Data Center) processing chains. In addition, IMF contributes to the design of new sensor systems and pursues technology transfer. |
|
IMF Structure
 |
The Atmospheric Processers unit develops operational processors for analyzing the output of atmospheric spectrometers in the infrared, visible and ultraviolet ranges and conducts research on the related scientific and technical issues. The current and mid-term focus is on the sensors GOME on ERS-2, SCIAMACHY and MIPAS on ENVISAT and GOME2 on METOP.
|
Read more  |
|
 |
The Photogrammetry and Image Analysis unit develops image processing methodologies for obtaining geometric (photogrammetry) and semantic (image analysis) information from remote sensing data collected by satellites and aircraft. The photogrammetric work concentrates on georeferencing this data using solely position and orientation information (physical approach) and on deriving digital elevation models from optical stereo data. In the image analysis work, procedures and systems for image information mining (I²M) are developed to facilitate searches in large data archives for particular content specified by users. |
| Read more |
|
 |
The Experimental Methods unit develops, tests and operates remote sensing systems. Activities concentrate on imaging and spectroscopic systems in the optical and infrared spectral ranges.
Spectroscopic processes and measurement systems are developed for both airborne and spaceborne remote sensing and for security related applications. One particular focus is on real-time sensor systems. A spectrometry laboratory is operated for the purpose of continuously improving the spectroscopic database of environmentally relevant trace gases. The department is also responsible for operation, calibration and validation of the airborne remote sensing measurement systems of the applied remote sensing institutes. |
| Read more |
|
 |
The Marine Remote Sensing unit concentrates on developing and validating algorithms and analytic procedures for hyperspectral optical and synthetic aperture radar data on oceans and inland waters.
The goal is to derive biological, ecological and meteo-marine parameters to monitor biological and ecological variables for coasts and inland waters and to detect changes. This information is used for wind, wave and ice cartography and to improve the forecast models used to manage coasts and waterways. |
| Read more |
|
 |
The SAR Signal Processing unit carries out research on data from synthetic aperture radar instruments. It specializes in developing algorithms and software for the focusing and interferometric processing of SAR signals.
The data source is usually spaceborne radar systems, although for some experiments aerial systems are available. In addition, new methods and products are developed for geophysical applications.
The unit develops and operates universal SAR, interferometric SAR and D-InSAR processors for such purposes as deriving digital elevation models, determining the rate of ground subsidence, and measuring the velocity of motor vehicles from space. |
| Read more |
|
 |
The Remote Sensing Technology unit in the Institute of Photogrammetry and Cartography at the Technical University Munich (TUM) researches and teaches information retrieval and knowledge extraction from remote sensing data. The emphasis is on synthetic aperture radar (SAR) and high resolution optical remote sensing technologies. Solutions for inverse problems, signal processing and estimation algorithms, and semantic image interpretation methodologies are developed. Current projects support the TerraSAR-X and TanDEM-X satellite missions, employ remote sensing data in traffic monitoring, and investigate methods for 3D building reconstruction and measurement of long-term building displacements.
|
| Read more |
|