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Advancements in digital sensor technology, digital image analysis
techniques, as well as computer software and hardware have brought
together the fields of computer vision and photogrammetry, which
are now converging towards sharing, to a great extent, objectives
and algorithms. The potential for mutual benefits by the close
collaboration and interaction of these two disciplines is great, as
photogrammetric know-how can be aided by the most recent image
analysis developments in computer vision, while modern quantitative
photogrammetric approaches can support computer vision activities.
Devising methodologies for automating the extraction of man-made
objects (e.g. buildings, roads) from digital aerial or satellite
imagery is an application where this cooperation and mutual support
is already reaping benefits. The valuable spatial information
collected using these interdisciplinary techniques is of improved
qualitative and quantitative accuracy. This book offers a
comprehensive selection of high-quality and in-depth contributions
from world-wide leading research institutions, treating theoretical
as well as implementational issues, and representing the
state-of-the-art on this subject among the photogrammetric and
computer vision communities.
Advancements in digital sensor technology, digital image analysis
techniques, as well as computer software and hardware have brought
together the fields of computer vision and photogrammetry, which
are now converging towards sharing, to a great extent, objectives
and algorithms. The potential for mutual benefits by the close
collaboration and interaction of these two disciplines is great, as
photogrammetric know-how can be aided by the most recent image
analysis developments in computer vision, while modern quantitative
photogrammetric approaches can support computer vision activities.
Devising methodologies for automating the extraction of man-made
objects (e.g. buildings, roads) from digital aerial or satellite
imagery is an application where this cooperation and mutual support
is already reaping benefits. The valuable spatial information
collected using these interdisciplinary techniques is of improved
qualitative and quantitative accuracy. This book offers a
comprehensive selection of high-quality and in-depth contributions
from world-wide leading research institutions, treating theoretical
as well as implementational issues, and representing the
state-of-the-art on this subject among the photogrammetric and
computer vision communities.
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