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Automatic Extraction of Man-Made Objects from Aerial Space Images (1995)

Automatic Extraction of Man-Made Objects from Aerial Space Images

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"Automatic Extraction of Man-Made Objects from Aerial Space Images" by Armin Gruen, Olaf Kuebler, Peggy Agouris is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

Presents the latest theoretical and implementational research into the automatic recognition and identification of roads, buildings, and other artifacts from digital aerial or satellite imagery. Some of the topics are inferring homogeneous regions from rich image attributes, three-dimensional reconstructions of urban scenes from sequences of images, geometric versus texture detail, tracking roads in satellite images by playing twenty questions, and the combination of aerial images and maps for interpreting urban scenes. The 29 papers were presented at a workshop in Zurich (date not noted). No subject index. Annotation copyright by Book News, Inc., Portland, OR

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Best For: Researchers and professionals in remote sensing, geographic information systems, and computer vision.
Focus: Techniques for automatic recognition and identification of man-made objects in aerial and satellite images.
Covers: Methods for inferring homogeneous regions, 3D urban scene reconstruction, geometric and texture analysis, and road tracking algorithms.
Why It Matters: Supports improved analysis and interpretation of aerial and satellite imagery for urban planning, mapping, and environmental monitoring.

"Automatic Extraction of Man-Made Objects from Aerial Space Images" by Armin Gruen, Olaf Kuebler, Peggy Agouris is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Astronomical Data

Author: Armin Gruen, Olaf Kuebler, Peggy Agouris

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

Presents the latest theoretical and implementational research into the automatic recognition and identification of roads, buildings, and other artifacts from digital aerial or satellite imagery. Some of the topics are inferring homogeneous regions from rich image attributes, three-dimensional reconstructions of urban scenes from sequences of images, geometric versus texture detail, tracking roads in satellite images by playing twenty questions, and the combination of aerial images and maps for interpreting urban scenes. The 29 papers were presented at a workshop in Zurich (date not noted). No subject index. Annotation copyright by Book News, Inc., Portland, OR

AuthorArmin Gruen, Olaf Kuebler, Peggy Agouris
PublisherSpringer Science & Business Media
Published1995-08-28
ISBN-139783764352646
BindingHardcover
Pages346
LanguageEnglish
SubjectsComputers
TopicAstronomical Data
SeriesMonte Verita

Format: Hardcover

Length: 346 pages

Language: English

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