Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning. - Nicholas LaHaye; Jordan Ott; Michael J. Garay; Hesham Mohamed El-Askary; Erik Linstead (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Learning in the machine: To share or not to share? - Jordan Ott; Erik Linstead; Nicholas LaHaye; Pierre Baldi (Neural Networks, 2020)

Assessing the Vertical Displacement of the Grand Ethiopian Renaissance Dam during Its Filling Using DInSAR Technology and Its Potential Acute Consequences on the Downstream Countries. - Hesham M. El-Askary; Amr Fawzy; Rejoice Thomas; Wenzhao Li; Nicholas LaHaye; Erik Linstead; Thomas C. Piechota; Daniele C. Struppa; Mohamed Abdelaty Sayed (Remote. Sens., 2021)

A Quantitative Validation of Multi-Modal Image Fusion and Segmentation for Object Detection and Tracking. - Nicholas LaHaye; Michael J. Garay; Brian D. Bue; Hesham M. El-Askary; Erik Linstead (Remote. Sens., 2021)

Fire-D: Analysis and ML-Ready NASA-Centric Remote Sensing of Wildfire and Smoke. - Yuzhou Chen; Nicholas LaHaye; Jae Won Choi; Zhiwei Zhen; Philip E. Davis; Huikyo Lee; Manish Parashar; Yulia R. Gel (Zenodo, 2024)

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets. - Nicholas LaHaye; Anistasija Easley; Kyongsik Yun; Huikyo Lee; Erik Linstead; Michael J. Garay; Olga V. Kalashnikova (CoRR, 2025)