By a row (eg 24) LEDs allow quick turn around an image can be formed. The rotational speed is not constant, but need to ensure that the picture remains the same at variable speeds. The PC must be a bitmap can be loaded with 4 'grayscale'. The LEDs on a larger radius need to work harder to burn the light intensity uniform ....etc

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1 - INTRODUCTION

This project investigates the working of a foreground segmentation algorithm that will be used to extract moving foreground objects from a video. The video will be shot with a standard digital camera in a controlled environment. The resulting video from the extraction process will contain a silhouette that tracks the foreground objectsâ„¢ movements. The objectives for the project are to research a practical algorithm, implement the algorithm, and finally, apply filtering techniques to the extracted foreground to reduce ....etc

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Abstract
This project implements an approach for automatic building detection from aerial imagery. The whole process of building detection is divided into three small stages of line extraction, line-relation-graph generation and building outline generation. Robustness has been achieved by considering only the mathematical and geometric relations between lines (represented by the end points) in the course of generating building outline. Graph structure was used for building outline generation because the use of graph structur ....etc

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Presented by
Pradeep R


ABSTRACT
Hyperspectral imaging has been an area of active research and development, and hyperspectral images have been available only to researchers. With the recent appearance of commercial airborne hyperspectral imaging systems, hyperspectral imaging is poised to enter the mainstream of remote sensing. Hyperspectral images will find many applications in resource management, agriculture, mineral exploration, and environmental monitoring. But effective use of hyperspectral images requir ....etc

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HYPERSPECTRAL IMAGING


INTRODUCTION


With the advent of new technologies, the field of remote sensing too has gained a new height. Hyperspectral imaging collects and processes information from across electromagnetic spectrum. The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data. Fifteen years ago only spectral remote sensing experts had access to hypersp ....etc

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By a row (eg 24) LEDs fast spin at the right time and the individual LEDs on and off can make an image formed. This command is an extension of a project last year, with a hand made clock was built by a row of LEDs. The intention is now to provide a communication between the sash and the environment, different patterns can be read. The PC must have written a simple program that can convert a bitmap to control signals to LEDs. An additional challenge is different intensities for the LEDs to provide, eg through a revolution the LEDs to burn and th ....etc

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Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Antonio Plaza
Department of Computer Science, University of Extremadura
Avda. de la Universidad s/n, E-10071 Caceres, Spain


Abstract.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most availa ....etc

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Why Use Hyperspectral Imagery



Introduction

While multispectral images have

been in regular use since the 1970s,

the widespread use of hyperspectral

images is a relatively recent trend.

Hyperspectral imaging, also known as im-

aging spectrometry, is now a reasonably fa-

Wmiliar concept in the world of remote sensing.

However, for many remote sensing specialists who

have not yet had the opp ....etc

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Mobile Satellite Imagery. Satellite imagery can be obtained from a variety of sources online. (Example: world,midwest, campus). Build in imagery support for TeamTrak. Start by modifying TeamTrak to load a single image from disk, and then scale and display it in the proper place, according to the user's current location. Once that works, then modify the code to download and display new images as the user's position changes. ....etc

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hyperspectral image dimensional reduction matlab code plzz ....etc

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