Applied Research In Acoustics LLC — Department of Defense SBIR Phase I: NGA191-001
Applied Research In Acoustics LLC — SBIR Phase I award from Department of Defense.
- Amount
- $98,455
- Agency
- Department of Defense · National Geospatial-Intelligence Agency
- Program / Phase
- SBIR · Phase I
- Topic
- NGA191-001
- Solicitation
- 19.1
- NAICS
- —
- Place of performance
- DC
- Period
- 2019-08-19 → 2020-05-20
Description
To support geospatial intelligence (GEOINT) through exploitation and analysis of synthetic aperture radar (SAR) imagery and address the challenges created by task-specific classification methodologies where feature extraction is mission-limited, ARiA will utilize deep learning (DL) expertise to enable automated unsupervised feature extraction (AUFE). Building upon our development of unsupervised DL for classification, segmentation, and augmentation of remote-sensing imagery ARiA will develop and demonstrate the feasibility of the Feature Learning, Encoding, and Extraction Toolkit (FLEET), a feature-extraction software for use with SAR that: (1) intelligently learns robust encodings from unlabeled data, thereby (2) reduces manual feature engineering, and (3) provides a framework for feature visualization and analysis (FVA). Fleet will facilitate a future National Geospatial-Intelligence Agency (NGA) capability for high performance GEOINT to support mission critical tasks.