Analysis Of High Resolution Aerial Images For Object Detection

Mohan M. Trivedi; Amol G. Bokil; Mourad B. Takla; George B. Maksymonko; J. Thomas Broach

doi:10.1117/12.960453

5 September 1989 Analysis Of High Resolution Aerial Images For Object Detection

Mohan M. Trivedi, Amol G. Bokil, Mourad B. Takla, George B. Maksymonko, J. Thomas Broach

Author Affiliations +

Proceedings Volume 1099, Advances in Image Compression and Automatic Target Recognition; (1989) https://doi.org/10.1117/12.960453
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

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Mohan M. Trivedi, Amol G. Bokil, Mourad B. Takla, George B. Maksymonko, and J. Thomas Broach "Analysis Of High Resolution Aerial Images For Object Detection", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960453

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