Low-Shot Detection in Remote Sensing Imagery
Award last edited on: 3/9/2024

Sponsored Program
Awarding Agency
Total Award Amount
Award Phase
Solicitation Topic Code
Principal Investigator
Khurram Hassan-Shafique

Company Information

Novateur Research Solutions LLC

20110 Ashbrook Place Suite 275
Ashburn, VA 20147
   (703) 468-1200
Location: Single
Congr. District: 10
County: Loudoun

Phase I

Contract Number: 2018
Start Date: ----    Completed: 9/24/2018
Phase I year
Phase I Amount
Direct to Phase II

Phase II

Contract Number: N/A
Start Date: 9/23/2020    Completed: 9/24/2018
Phase II year
(last award dollars: 1709970571)
Phase II Amount

This SBIR Phase II project will develop biologically inspired computational models and algorithms to enable low-shot and one-shot detectionof objects-of-interest in remote sensing imagery. The Phase II effort will build upon our Phase I work including multi-scale representationlearning framework and deep-learning based feature extraction and matching techniques for low-shot target detection. The Phase II effort willfocus towards improvement of the Phase I technologies and transitioning them into a prototype system including an end-to-end software withtraining and testing capabilities of target detection in remote sensing data. The Phase II effort will leverage Novateur Teams expertise in theareas of deep learning and convolutional neural network, metric and hybrid learning, domain adaptation, top-down and bottom-up visualattention, exploitation of remote sensing imagery, and image and scene understanding.