Remote sensing for GIS applications: new sensors and analysis methods

The advent of very high resolution (e.g., 0.6 - 1.0 m) satellite programs and, in addition, digital airborne cameras with ultra high resolution (e.g., 5 - 20 cm) offers new possibilities for very accurate mapping of the environment. With these sensors of improved spatial resolution, however, the user community faces a new problem in the analysis of this type of image data. Standard classification techniques have to be augmented for an appropriate analysis because the necessary homogeneity of landuse/landcover classes can no longer be achieved by the integration effect of large pixel sizes (e.g., 20 - 80 m). New intelligent techniques will have to be developed that make use of multisensor approaches, GIS integration and context based interpretation schemes. This paper will present an overview on recent developments in remote sensing and the challenges presented to the user community.

[1]  Peng Gong,et al.  A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data , 1992 .

[2]  K. Johnsson.  Segment-based land-use classification from SPOT satellite data , 1994 .

[3]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[4]  J. R. Jensen.  Remote Sensing of the Environment: An Earth Resource Perspective , 2000 .

[5]  A. Hinz,et al.  The Z/I Imaging Digital Camera System , 2000 .

[6]  E. Baltsavias,et al.  Improvement and updating of a cartographic road database by image analysis techniques using multiple knowledge sources and cues , 2001 .

[7]  Deploying DMC in today ’ s workflow , 2001 .

[8]  Ing Jochen Schiewe,et al.  Potential and problems of multi-scale segmentation methods in remote sensing , 2001 .

[9]  Josef Strobl,et al.  What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .

[10]  Peter Hofmann.  Detecting buildings and roads from IKONOS data using additional elevation information , 2001 .

[11]  New Sensor systems and new Classification Methods : Laser-and Digital Camera-data meet object-oriented strategies , 2001 .

[12]  T. Bauer,et al.  Per-parcel land use classification in urban areas applying a rule-based technique , 2001 .

[13]  Manfred Ehlers,et al.  Automated analysis of ultra high resolution remote sensing data for biotope type mapping: new possibilities and challenges , 2003 .