“Urban Pixels” are wireless, solar-powered lighting units for cities that blur the boundary between digital display technology and traditional urban lighting. By combining a renewable energy source with RF communication it is possible to achieve a self-sustaining, distributed display network that can be attached to any building surface and reconfigured with ease. Depending on their configuratio...

One of great challenges in neural network-based analysis of remotely sensed imagery is to find an adequate pool of training samples without prior knowledge for the network so that that these unsupervised training samples can describe the data. A judicious selection of training data can be tremendously difficult due to the presence of subpixel targets and mixed pixels, particularly, when no prio...

Remote detection and identification of chemicals in a scene is a challenging problem. We introduce an approach that uses some of the image’s pixels to establish the background characteristics while other pixels represent the target for which we seek to identify all chemical species present. This leads to a generalized least squares problem in which we focus on “subset selection” to identify the...

Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and custom-made lossless compression schemes. In this paper, we offer a new archi...

Persistent Scatterers (PS) technique is a useful modification of InSAR that limits interferometric processing only to those pixels that behave consistently over a long period of time. Usually these pixels are selected by setting a threshold on amplitude dispersion or mean coherence. This approach requires a large number of images in order to select PS with high confidence which can be a signifi...