The objectives of this study were (a) to evaluate the suitability of SAR imagery for discriminating savanna physiognomies, (b) to combine SAR and optical imagery for achieving improved accuracy, and (c) to develop a hybrid approach based on pixels and objects to characterize gradients of vegetation density. We used imagery from the Phased Array L-band Synthetic Aperture Radar (PALSAR), as well ...

Spectral similarity and spatial adjacency between various kinds of objects, shadow and occluded areas behind high rise objects as well as complex relationships lead to object recognition difficulties and ambiguities in complex urban areas. Using new multiangular satellite imagery, higher levels of analysis and developing a context aware system may improve object recognition results in these sit...

This thesis is concerned with the geocoding of Synthetic Aperture Radar (SAR) images and the use of stereo SAR images. The work was carried out as part of the preparation for the launch of the ERS-1 sateffite, due in July 1991, which will carry a SAR sensor. There are two basic approaches to geocoding: image-to-object and object-to-image. Both of these methods have been analysed and assessed on...

Cloud is one of the most common interferers in Moderate Resolution Imaging Spectrum-radiometer (MODIS) remote sensing imagery. Because of cloud interference, much important and useful information covered by cloud cannot be recovered well. How to detect and remove cloud from MODIS imagery is an important issue for wide application of remote sensing data. In general, cloud can be roughly divided ...

The need for high-performance image compression is becoming greater and greater as digital imagery finds its way into many areas of everyday life. JPEG2000 is the state-of-the-art compression standard emerges from the Joint Photographic Experts Group (JPEG) working under the auspices of the International Standards Organization. The new standard out performs the older JPEG standard by approximat...

We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within...

Improving change detection performance (probability of detection/false alarm rate) is an important goal of DARPA's Dynamic Database (DDB) program. We describe a novel approach based on fusing the outputs from two complementary image-based change detection algorithms. Both use historical imagery over the region of interest to construct normalcy models for detecting change. Image level change det...

This work is about a novel methodology for window detection in urban environments and its multiple use in vision system applications. The presented method for window detection includes appropriate early image processing, provides a multi-scale Haar wavelet representation for the determination of image tiles which is then fed into a cascaded classifier for the task of window detection. The class...