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Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects
Baltsavias, Emmanuel P.

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999
The evaluation of angular signatures from stereo datasets
provided surprisingly detailed information on land objects. The
approach is not able to replace the well-known multispectral
approach completely; the correlation of spectral signatures to
bio- and geo-physical parameters is higher and at the moment
better understood. Nevertheless, the approach showed new and
innovative aspects and seems to be worthy of more intensive
investigations, such as:
• the expansion of stereo data use from topographic mapping
and DEM generation to thematic analysis. This may be of
importance in thematic processing of panchromatic stereo
datasets from the next sensor generation like Quick Bird
(scheduled for 1999), Spot 7 (2002), ALOS (2002), IRS P6,
etc., which are primarily designed for topographic mapping
purposes (economic benefit).
• the introduction of an additional physical parameter in the
thematic analysis of remote sensing data, which improves
the accuracy of classification and status assessment
(scientific/economic benefit).
• anisotropic backscattering in the optical region and intensity
of microwave signals are both functions of stand structure
and plant architecture. The anisotropy approach may
therefore play a key role in relating bio- and geo-physical
parameter retrieval from optical and microwave data
analysis (scientific/economic benefit).
Our recommendation is to develop the design of MOMS-02 to a
system, which can acquire simultaneously along-track stereo,
high resolution and multispectral data.
The work done for this paper was in part sponsored by DLR, the
German Research Community (DFG) under contract No. AU
149 1/1, project IKB Dürnast, and the DLR/Bavarian State
forestry administration in the frame of the MOMS-2/P pilot
project „ALPS“, contract No. 50 EE 9610.
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