Manual of Photogrammetry, Sixth Edition Now Available
The American Society for Photogrammetry and Remote Sensing (ASPRS) announces the Manual of Photogrammetry, Sixth Edition is now available for purchase through the ASPRS Bookstore.
ASPRS announced that under the leadership of J. Chris McGlone, PhD, CP, as editor-in-chief and George Y.G. Lee, Ph.D., technical editor, the manual covers photogrammetry in depth, as well as its constituent technologies, providing the student, practitioner, or researcher with a single valuable reference resource.
The topics addressed within the manual include:
• Mathematics: the perspective geometry which underlies the imaging process and its current usage in computer vision, the statistical modeling of measurement error, and the basic photogrammetric operations of resection, intersection, and triangulation, coordinate transformation
• Image acquisition: the physics of optical systems and imaging chips, digital airborne and satellite sensors
• Digital photogrammetry: image processing, computer vision, and their applications in photogrammetry
• Photogrammetric operations: flight planning and GPS/INS utilization
• Photogrammetric products: standard product types and formats and their associated accuracy standards
• Current applications: mobile mapping vans, close-range industrial photogrammetry, space measurements, and forensic photogrammetry
• Bibliography: each chapter has an extensive bibliography to guide further study
ASPRS reports that these topics are covered by contributing authors who combine years of experience with many aspects of photogrammetry and familiarity with the state-of-the-art; many of the authors have been pivotal in defining the current state-of-the-art of digital photogrammetry.
The overall outline of this sixth edition is slightly modified from that of the fifth edition. The emphasis is again on digital methods and products, while material on film cameras and analog plotters has been deleted. The mathematical content has been further expanded, especially the treatment of replacement sensor models, along with discussions of digital image processing and computer vision algorithms.
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