The Synthetic and Measured Paired and Labeled Experiment (SAMPLE) Dataset for SAR ATR Development

Developing automatic target recognition algorithms for synthetic aperture radar (SAR) imagery is an important step toward effectively processing the amount of data created by SAR platforms.  Allowing computers to efficiently extract the data from these images and return only relevant information dramatically accelerates the decision-making process.


To read the full article, click here*

 

*ATTENTION: Due to recent publication regulations from DTIC, this article will only be available on DTIC’s R&E Gateway via CAC logon.



Author(s): Benjamin Lewis, Theresa Scarnati, John Nehrbass, Elizabeth Sudkamp, Stephen Rosencrantz, and Edmund Zelnio