There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost.

Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-p ....etc

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my name is shamseena , im a b.tech cse student, my seminar topic was parallel computing In remote sensing data processing. can u giv full deteils of this topic . i want immedietly its materials. like pdf and ppt. please help me.
now i got one pdf. but its page length is very short. i want introduction page are minimum 3 maximum 4. also i want releted technologies breif ideas and comparison with that. and also advantage from that technology.
and overall advantage and disadvantage.
and also can u send ppt..? with all main points. with clear ....etc

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my name is shamseena , im a b.tech cse student, my seminar topic was parallel computing In remote sensing data processing. can u giv full deteils of this topic . i want immedietly its materials. like pdf and ppt. please help me.
now i got one pdf. but its page length is very short. i want introduction page are minimum 3 maximum 4. also i want releted technologies breif ideas and comparison with that. and also advantage from that technology.
and overall advantage and disadvantage.
and also can u send ppt..? with all main points. with clear ....etc

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Hi,
I need to use FCC in multi-spectral image using Matlab for my project ....etc

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There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost. Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-probl ....etc

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request:sir please send me full information about this project and ppt if possible what are the active methods for interactive image retrieval

my project abstract:
title:active learning methods for interactive image retrieval

RGB BASED IMAGE SEARCH ENGINE


Abstract:

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, ....etc

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A NOVEL REMOTE SENSING IMAGE FUSION METHOD BASED ON ICA BASES
Submitted by
MANU C.S
Third Semester
M.Tech , Signal Processing



ABSTRACT


Data fusion on remote sensing is one of important problems in current image
processing techniques, as the remote sensing data is massive, high-order
redundant and non-negative. The image fusion is an important branch of data
fusion. The image fusion can be viewed as a process that incorporates essenti ....etc

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Presented By
D.SPARSHA
G.VANDANA


Remote Controlled Metal Detecting Robot with Remote Image Transmission
ABSTRACT
Path Finder was sent to Mars in 1998. This was achievement a great which detected the secrets of “Mars”. This project deals with RF controlled robot. This robot prototype for the “Path Finder”.
This robot is controlled by a RF remote. This can be moved forward and reverse direction using geared motors of 60RPM. Also this robot can take sharp turnings towards left and right directions. T ....etc

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I am in M.tech final year project. want to do project related to image processing in remote sensing. please send some relevent topics related to it. please help me.............. ....etc

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ACTIVE LEARNING METHODS FOR INTERACTIVE IMAGE RETRIEVAL - IMAGE PROCESSING

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful cla ....etc

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