Share Email Print
cover

Proceedings Paper

Analysis Of High Resolution Aerial Images For Object Detection
Author(s): Mohan M. Trivedi; Amol G. Bokil; Mourad B. Takla; George B. Maksymonko; J. Thomas Broach
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Object detection is recognized as an important component of a computer vision system. In this paper, we discuss the problem of object detection in high resolution aerial images. We note that object detection task requires analysis of two types of features: intrinsic and relational. The paper presents techniques for texture operator based intrinsic feature analysis and linear structure extraction.

Paper Details

Date Published: 5 September 1989
PDF: 8 pages
Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); doi: 10.1117/12.960453
Show Author Affiliations
Mohan M. Trivedi, The University of Tennessee (United States)
Amol G. Bokil, The University of Tennessee (United States)
Mourad B. Takla, The University of Tennessee (United States)
George B. Maksymonko, U. S. Army Belvoir Research, Development, and Engineering Center (United States)
J. Thomas Broach, U. S. Army Belvoir Research, Development, and Engineering Center (United States)


Published in SPIE Proceedings Vol. 1099:
Advances in Image Compression and Automatic Target Recognition
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top