Hirsh Goldberg
Remote Sensing Engineer at JHU Applied Physics Lab., LLC
SPIE Involvement:
Conference Program Committee | Author
Area of Expertise:
LIDAR data processing , LIDAR system design , Geospatial Remote Sensing , machine learning for imaging applications
Profile Summary

Hirsh Goldberg is a senior remote sensing scientist at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). He has over 12 years of experience supporting computer vision and advanced image exploitation applications for a variety of 2D and 3D remote sensing imaging modalities. Specific topics of interest in include LIDAR system design and data processing as well as applying machine learning to geospatial remote sensing and automated/aided target recognition applications.
Publications (5)

Proceedings Article | 16 June 2023 Presentation + Paper
Proceedings Volume 12525, 1252502 (2023) https://doi.org/10.1117/12.2663071
KEYWORDS: Satellites, Algorithm development, Satellite imaging, Earth observing sensors, Object detection, Evolutionary algorithms, Machine learning

Proceedings Article | 13 May 2019 Presentation
Proceedings Volume 10992, 109920F (2019) https://doi.org/10.1117/12.2519018
KEYWORDS: Image segmentation, Classification systems, Image classification, Zoom lenses, Neural networks, Satellite imaging, Satellite communications, Earth observing sensors, Satellites, Roads

Proceedings Article | 10 May 2018 Presentation + Paper
Myron Brown, Hirsh Goldberg, Kevin Foster, Andrea Leichtman, Sean Wang, Shea Hagstrom, Marc Bosch, Scott Almes
Proceedings Volume 10636, 106360P (2018) https://doi.org/10.1117/12.2304403
KEYWORDS: LIDAR, 3D modeling, 3D image processing, Satellites, Satellite imaging, Earth observing sensors, Algorithm development

Proceedings Article | 27 April 2018 Presentation + Paper
Hirsh Goldberg, Sean Wang, Gordon Christie, Myron Brown
Proceedings Volume 10645, 1064503 (2018) https://doi.org/10.1117/12.2304682
KEYWORDS: 3D modeling, 3D image processing, Satellite imaging, Image segmentation, Computer vision technology, Airborne photogrammetry, Automatic target recognition, Airborne remote sensing, Machine learning

Proceedings Article | 7 May 2007 Paper
Proceedings Volume 6565, 656504 (2007) https://doi.org/10.1117/12.719932
KEYWORDS: Principal component analysis, Sensors, Detection and tracking algorithms, Hyperspectral imaging, Ferroelectric LCDs, Image sensors, Target detection, Matrices, Zirconium, Hyperspectral target detection

Conference Committee Involvement (7)
Geospatial Informatics XV
13 April 2025 | Orlando, Florida, United States
Geospatial Informatics XIV
25 April 2024 | National Harbor, Maryland, United States
Geospatial Informatics XIII
4 May 2023 | Orlando, Florida, United States
Geospatial Informatics XII
6 April 2022 | Orlando, Florida, United States
Geospatial Informatics XI
12 April 2021 | Online Only, Florida, United States
Showing 5 of 7 Conference Committees
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