Electronic Theses and Dissertations Archive
Date
2026
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Department
Electrical & Computer Engineering
Committee Chair
Eddie Jacobs
Committee Member
Aaron Robinson
Committee Member
Daniel Foti
Committee Member
Lan Wang
Committee Member
Ronald Driggers
Abstract
Hyperspectral cameras capture hundreds of data points per sample (pixel), thereby providing numerous advantages in remote sensing tasks. Many tasks can be effectively conducted with such a camera mounted on a small uncrewed aerial system (sUAS). However, obtaining results traditionally requires significant post-processing of captured data after flight, delaying insight. To mitigate the delay, this work proposes Spacecube, a program that implements a complete interactive hyperspectral processing pipeline. Spacecube's novel inverse georectification algorithm processes entire datasets in seconds, compared to hours for traditional methods, and eliminates pixel coverage artifacts. This allows immediate high-quality viewing and adjustment of captured flight data. To move beyond post-processing completely, Spacecube Capture is described and integrated. Using an on-UAS computer, it captures hyperspectral data, performs real-time task-specific analysis, and transmits results to Spacecube on the ground. The complete system uniquely enables insight to begin from UAS takeoff so on-the-ground investigation and response can proceed through the flight. Finally, the system is applied to the analysis task of hyperspectral anomaly detection. For the first time in the literature, complete end-to-end operation is demonstrated and characterized, from data capture and preparation, through anomaly detection algorithm execution and transmission, to ground station display and interaction. The system is shown to operate in real-time with bounded latency, and produce visually and quantitatively useful detection results. The source code is released publicly for the community to test and expand. The inverse georectification algorithm, along with end-to-end tests of a real-time on-UAS hyperspectral processing system, represent significant and original contributions to the literature.
Library Comment
Dissertation or thesis originally submitted to ProQuest/Clarivate.
Notes
Open Access
Recommended Citation
Watson, Thomas Pascarella, "Spacecube: Interactive Real-Time UAS Hyperspectral Processing" (2026). Electronic Theses and Dissertations Archive. 3965.
https://digitalcommons.memphis.edu/etd/3965
Archival Statement
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Comments
Data is provided by the student.”