TY - JOUR
T1 - Unsupervised, robust estimation-based clustering of remotely sensed images
AU - Netanyahu, Nathan S.
AU - Tilton, James C.
AU - Gualtieri, J. Anthony
PY - 1995/1/1
Y1 - 1995/1/1
N2 - Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, we have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided in this paper.
AB - Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, we have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided in this paper.
UR - https://www.scopus.com/pages/publications/29226072
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
VL - 2
JO - International Geoscience and Remote Sensing Symposium (IGARSS)
JF - International Geoscience and Remote Sensing Symposium (IGARSS)
ER -