Cathleen A. Geiger

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The grape mealybug, Pseudococcus maritimus (Ehrhorn), is an important pest of table grapes in California's San Joaquin Valley. The mealybug causes direct damage by infesting grape bunches, resulting in very low economic injury levels. To develop a sampling program to help growers predict damage and make control decisions, we destructively sampled six entire(More)
for all their guidance, inspiration, patience, and support. " You were both just super " ☺. Thank you for all the help throughout the project. I wish to thank appa, amma, sneha and sowmya for all their encouragement through all walks of my life. I wouldn't have come here in the first place if not for you all….Thank you!!!! I would like to thank all my(More)
Sea-ice motion consists of complex non-rigid motions involving continuous, piece-wise continuous and discrete particle motion. Techniques for estimating non-rigid motion of sea ice from pairs of satellite images (generally spaced three days apart) are still in the developmental stages. For interior Arctic and Antarctic pack ice, the continuum assumption(More)
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most accurate algorithms to be sparse, with disparities known only in textured regions. We propose a novel method which uses characteristics of the multi-valued disparity to segregate(More)
We have learned that standard techniques in computer vision can not be directly applied to SAR-derived sea ice motion products because of multiple discontinuities with varying orientations and scales. Additionally discontinuities intersect, undergo deformations, and appear as unique image regional textures in remote sensing products. We therefore find it(More)
In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial resolution that is an order of magnitude greater than the currently available data products. Since the motion is extracted from the image data iteratively, the(More)
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine entropy based filtering and two levels of belief propagation to create an algorithm that can handle a scene with very little color variation. We test the performance of our method(More)
Non-rigid motion has to sometimes contend with the presence of discontinuous structures when it is estimated under a non-topology preserving deformation. In this paper, we propose an algorithm that estimates large scale non-rigid motion in the presence of these discontinuous structures. We have developed a streamline regularization framework that uses(More)
The nonrigid motion of sea ice is an essential component when describing global climatology models. With the availability of sequential ERS-1 satellite imagery, we estimate high resolution motion and describe the differential characteristics of motion. This characterization is subsequently used to locate critical points, also known as coherent structures,(More)