Object-oriented frame approach to image processing and data management in the multisensory remote sensing

Alexander A. Stepanov; Yury V. Visilter; Yuri V. Morzeev; Sergey Yu. Zheltov

doi:10.1117/12.226811

17 November 1995 Object-oriented frame approach to image processing and data management in the multisensory remote sensing

Alexander A. Stepanov, Yury V. Visilter, Yuri V. Morzeev, Sergey Yu. Zheltov

Author Affiliations +

Proceedings Volume 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing; (1995) https://doi.org/10.1117/12.226811
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

Multisensory remote sensing requires the simultaneous registration and real-time processing of the time-varying multi-sensor image data. The frame-based programming technique was developed to provide the appropriate multi-sensor data management. Any frame-based processing system supports the automatic data updating since the output of any sensor has been changed. The visual programming of data flows is naturally available through the usage of this approach. The appropriate set of the frame types is formed to design the most generic multisensory framework. Finally, the problem of real-time, multi-processor implementation of the frame-based software architecture is addressed.

Citation Download Citation

Alexander A. Stepanov, Yury V. Visilter, Yuri V. Morzeev, and Sergey Yu. Zheltov "Object-oriented frame approach to image processing and data management in the multisensory remote sensing", Proc. SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing, (17 November 1995); https://doi.org/10.1117/12.226811

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available