| Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery DC Heinz IEEE transactions on geoscience and remote sensing 39 (3), 529-545, 2001 | 2086 | 2001 |
| Constrained subpixel target detection for remotely sensed imagery CI Chang, DC Heinz IEEE transactions on geoscience and remote sensing 38 (3), 1144-1159, 2000 | 449 | 2000 |
| Chein-I-Chang,“Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery,” DC Heinz IEEE Trans. Geosci. Remote Sens 39 (3), 529-545, 2001 | 195 | 2001 |
| Fully constrained least-squares based linear unmixing [hyperspectral image classification] D Heinz, CI Chang, MLG Althouse IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 …, 1999 | 145 | 1999 |
| Subpixel spectral detection for remotely sensed images CI Chang, D Heinz IEEE Trans. Geosci. Remote Sensing 38 (3), 1144-1159, 2000 | 34 | 2000 |
| Temporal-spectral detection in long-wave IR hyperspectral imagery DC Heinz, CE Davidson, A Ben-David IEEE Sensors Journal 10 (3), 509-517, 2010 | 9 | 2010 |
| Unsupervised target subpixel detection in hyperspectral imagery CI Chang, Q Du, SS Chiang, DC Heinz, IW Ginsberg Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII …, 2001 | 9 | 2001 |
| Unsupervised fully constrained squares linear spectral mixture analysis method for multispectral imagery DC Heinz, CI Chang IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium …, 2000 | 9 | 2000 |
| Constrained subpixel target detection for hyperspectral imagery CI Chang, DC Heinz Signal and Data Processing of Small Targets 2000 4048, 35-45, 2000 | 6 | 2000 |
| Real-time processing of an unsupervised constrained linear spectral unmixing algorithm DC Heinz, CI Chang IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings …, 2001 | 5 | 2001 |
| Constrained least squares spectral unmixing for subpixel target detection, classification and quantification in hyperspectral and multispectral imagery DC Heinz University of Maryland, Baltimore County, 2001 | 5 | 2001 |
| Supervised unconstrained and constrained least squares unmixing in hyperspectral imagery DC Heinz, T Bahr, G Terrie Algorithms, Technologies, and Applications for Multispectral and …, 2021 | 3 | 2021 |
| Constant phase uniform current loop for detection of metallic objects using longitudinal magnetic field projection DC Heinz, AW Melber, ML Brennan Detection and Sensing of Mines, Explosive Objects, and Obscured Targets …, 2013 | 3 | 2013 |
| Creating Models of Hyperspectral Classification Workflows Integrating Dimensionality Expansion for Multispectral Imagery T Bahr, DC Heinz 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 2 | 2019 |
| Detector DC Heinz, AW Melber, ML Brennan, M Steer US Patent 10,078,147, 2018 | 2 | 2018 |
| High to very high frequency metal/anomaly detector DC Heinz, ML Brennan, MB Steer, AW Melber, JT Cua Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIX …, 2014 | 2 | 2014 |
| Constant phase DC Heinz, AW Melber, TA Burst, ML Brennan, M Steer US Patent 9,971,055, 2018 | 1 | 2018 |
| Constant phase DC Heinz, AW Melber, TA Burst, ML Brennan, M Steer US Patent 9,791,585, 2017 | 1 | 2017 |
| Constant phase DC Heinz, AW Melber, TA Burst, ML Brennan, M Steer US Patent 9,651,703, 2017 | 1 | 2017 |
| Phase response of high to very high frequency metal/anomaly detector DC Heinz, ML Brennan, MB Steer, AW Melber, JT Cua Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX …, 2015 | 1 | 2015 |
