Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors
- Resource Type
- Conference
- Authors
- Ratto, Christopher R.; Kelbaugh, Michael T.; Banerjee, Amit; Goldberg, Hirsh R.
- Source
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :1189-1192 Jul, 2023
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Measurement
Satellites
Conferences
Sensor phenomena and characterization
Remote sensing
Intelligent sensors
activity detection
algorithms
- Language
- ISSN
- 2153-7003
Although satellite-based remote sensing imagery has been widely demonstrated to be an effective means of detecting objects and structures, detecting the spatial and temporal bounds of human activity is inherently more complex, and research in this area is nascent. In this paper, we describe the performance metrics established for the IARPA Space-based Machine-Automated Recognition Technique (SMART) to track progress toward meeting this challenge. We also share the latest algorithm performance results from the SMART program.