The spectral capability of early satellite sensors opened new perspectives in the field of archaeological research. The recent availability of hyperspectral and multispectral satellite imageries has established a valid and low cost alternative to aerial imagery in the field of archaeological remote sensing. The high spatial resolution and spectral capability can make the VHR satellite images a ...

We describe and test a procedure to accurately co-register and correlate multi-temporal aerial images. We show that this procedure can be used to measure surface deformation, and explore the performance and limitations of the technique. The algorithms were implemented in a software package, COSI-Corr (available from the Caltech Tectonics Observatory website). The technique is validated on sever...

To classify Egeria densa, Brazilian waterweed, in scan-digitized color infrared aerial photographs, we are developing an interactive computer system based on datamining techniques with Active Learning capabilities. Key components of the system are: feature extraction, automatic classification, Active Learning, and experimental evaluation. Key words—active learning, data mining, feature extracti...

In the last 50 years the shape of cities has changed dramatically. People have started to migrate from rural areas, attracted by the opportunities created by a more dynamic economy and by the apparent easier life within the cities. This trend has been observed in Europe during the whole 20th century, but has now considerably slowed down, to the benefit of smaller urban centres, which have grown...

We present several methods for per-region land-cover classification based on distances on probability distributions and whole-region probabilities. We present results on using this method for locating forest areas in high-resolution aerial images with very high reliability, achieving more than 95% accuracy, using raw radiometric channels as well as derived color and texture features. Region bou...

In this article a practical mass-spring system was developed to simulate the draping of woven and knitted fabrics. The material properties important to fabric drape, including aerial density, tensile, shear, and bending properties were measured using the Kawabata Evaluation System and the experimental data were incorporated into the mass-spring model to simulate the dynamic draping behavior of ...

Conditional Random Fields (CRF) are among the most popular techniques for image labelling because of their flexibility in modelling dependencies between the labels and the image features. This paper proposes a novel CRFframework for image labeling problems which is capable to classify partially occluded objects. Our approach is evaluated on aerial near-vertical images as well as on urban street...

and have found that it is complete and satisfactory in all respects, and that any and all revisions required by the final examining committee have been made. Date:__________________________________ In presenting this thesis in partial fulfillment of the requirements for a master's degree at the University of Washington, I agree that the Library shall make its copies freely available for inspect...

Measuring the aerial extent of tropical deforestation for other than localized areas requires the use of satellite data.We present evidence to show that an accurate determination of tropical deforestation is very di cult to achieve by a ‘random sampling’ analysis of Landsat or similar high spatial resolution data unless a very high percentage of the area to be studied is sampled. In order to a...

Monitoring the behavior of people in complex environments has gained much attention over the past years. Most of the current approaches rely on video cameras mounted on buildings or pylons and people are detected and tracked in these video streams. The presented approach is intended to complement this work. The monitoring of people is based on aerial image sequences derived with camera systems ...