D. C. Heinz

Unsupervised fully constrained squares linear spectral mixture analysis method for multispectral imagery

Chein-I Chang, D. C. Heinz, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

A linear mixture analysis-based compression for hyperspectral image analysis

Chein-I Chang, I. W. Ginsberg, D. C. Heinz, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

Real-time processing of an unsupervised constrained linear spectral unmixing algorithm

Chein-I Chang, D. C. Heinz, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery

Chein-I Chang, Daniel C. Heinz, D. C. Heinz, 2001, IEEE Trans. Geosci. Remote. Sens..

Fully constrained least-squares based linear unmixing [hyperspectral image classification]

D. C. Heinz, Chein-I. Chang, M. Althouse, 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

Partially supervised detection in hyperspectral imagery

D. C. Heinz, D. Streutker, T. Bahr, 2022, Defense + Commercial Sensing.