Subpixel detection and classification are important in identification and quantification of multicomponent mixtures in remotely sensed data, such as multispectral/hyperspectral images. A recently proposed orthogonal subspace projection (OSP) has shown some success in Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Hyperspectral Digital Imagery Collection Experiment (HYDICE) data. Ho...

Counting of different classes of white blood cells in bone marrow smears can provide pathologists with valuable information regarding various hematological disorders. For automatic imaging analysis techniques, precise segmentation of White Blood Cells is quite challenging due to the complex contents in bone marrow smears. Far more different from traditional color imaging analysis method, we int...

of the Dissertation Array Independent Component Analysis with Application to Remote Sensing by Irina A. Kukuyeva Doctor of Philosophy in Statistics University of California, Los Angeles, 2012 Professor Jan de Leeuw, Chair There are three ways to learn about an object: from samples taken directly from the site, from simulation studies based on its known scientific properties, or from remote sens...

In this paper, through a series of specific examples, we illustrate some characteristics encountered in analyzing high dimensional multispectral data. The increased importance of the second order statistics in analyzing high dimensional data is illustrated, as is the shortcoming of classifiers such as the minimum distance classifier which rely on first order variations alone. We also illustrate...

Multispectral image capture ( i.e , more than three channels) facilitates both more accurate tristimulus estimation and possibilities for spectral reconstruction of each scene pixel. A seven-channel camera was assembled using approximately 50 nm bandwidth interference filters, manufactured by Melles Griot, in conjunction with a Kodak Professional DCS 200m digital camera. Multichannel images wer...

Lithologic mapping in the hostile and inaccessible mountainous region like the Himalaya and Tibet has frequently been a great challenge for geologists. The remote sensing techniques should be a potential player in lithologic mapping and structural analysis in these mountainous regions. With the successful development of minrealogic indices, e.g., Quartz Index (QI), Carbonate Index (CI), Mafic I...