Paper
21 September 2004 Three-dimensional invariants and classification of ladar signatures
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Abstract
In this paper we report new results in an ongoing study to address the problem of classification of Laser radar targets. We first discuss the issue of representation of 3D object such that they remain unchanged under affine transformation. A set of Ladar signatures of tactical military targets are then represented in the invariant feature spaces and their inter-class separability is studied by adding random noise of varying characteristics to the Ladar signatures. A number of performance metrics such as interclass distances and ROC curves are used to demonstrate the classification behaviors of 35 different target signatures.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Firooz A. Sadjadi "Three-dimensional invariants and classification of ladar signatures", Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004); https://doi.org/10.1117/12.547677
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Cited by 1 scholarly publication.
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KEYWORDS
LIDAR

3D acquisition

Neodymium

Sensors

Signal to noise ratio

Automatic target recognition

Clouds

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