Satellite recognition and pose estimation using homeomorphic manifold analysis

Haopeng Zhang, Zhiguo Jiang, Ahmed Elgammal

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


We propose a novel monocular vision-based framework for both satellite recognition and pose estimation, using homeomorphic manifold analysis. We use a unified conceptual manifold to represent continuous pose variation of all satellites in the visual input space, learn nonlinear function mapping from conceptual manifold representation to visual inputs, and decompose discrete category variation in the mapping coefficient space. Experimental results on a simulated image data set show the effectiveness and robustness of our approach.

Original languageEnglish (US)
Article number7073533
Pages (from-to)785-792
Number of pages8
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number1
StatePublished - Jan 1 2015

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Satellite recognition and pose estimation using homeomorphic manifold analysis'. Together they form a unique fingerprint.

Cite this