 
								A Survey of Multi Sensor Satellite Image Fusion Techniques
								
								
									
										Issue:
										Volume 8, Issue 1, March 2020
									
									
										Pages:
										1-10
									
								 
								
									Received:
										29 February 2020
									
									Accepted:
										16 March 2020
									
									Published:
										27 May 2020
									
								 
								
								
								
									
									
										Abstract: Multi sensor image fusion is the technique used to combine heterogeneous images of the same scene obtained using different sensors. The objective of image fusion is to produce a single image containing the best aspects of the fused images. Some desirable aspects of Image Fusion include high spatial resolution and high spectral resolution (multispectral and panchromatic satellite images), areas in focus (microscopy images), functional and anatomic information (medical images), different spectral information (optical and infrared images), or color information and texture information (multispectral and synthetic aperture radar images). Image fusion can also be used for providing some protection against illegal copying by embedding water-marks. For all of the schemes, it is assumed that the images have been co-registered and resampled. The aim of this survey is to present a review of publications related to Multi Sensor Image Fusion. This paper paints a comprehensive picture of Multi Sensor Image Fusion methods and their applications. This paper is an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application. Methods are classified according to the different aspects of Multi Sensor Image Fusion.
										Abstract: Multi sensor image fusion is the technique used to combine heterogeneous images of the same scene obtained using different sensors. The objective of image fusion is to produce a single image containing the best aspects of the fused images. Some desirable aspects of Image Fusion include high spatial resolution and high spectral resolution (multispec...
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								Complexity Analysis of Data Aggregation and Routing Algorithms for Automated Utility Management Using WSN
								
									
										
											
											
												Raja Jitendra Nayaka,
											
										
											
											
												Rajashekhar Chanabasappa Biradar
											
										
									
								 
								
									
										Issue:
										Volume 8, Issue 1, March 2020
									
									
										Pages:
										11-22
									
								 
								
									Received:
										18 May 2020
									
									Accepted:
										2 June 2020
									
									Published:
										17 June 2020
									
								 
								
								
								
									
									
										Abstract: At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development of low cost remote monitoring systems. The WSN based remote automated utility management, remote meter reading and billing for future smart cities will enhance the quality and service by government. This increases the revenue of government. Due to unpleasant trend in the growth of congestion in urban areas, the smart utility meter data traffic aggregation and routing faces more challenges in the traditional automated service departments. In this work we propose an integrated architecture that include electricity, water and gas utility meters and discuss the methodology for Data Aggregation and Routing for Integrated Public Utility Services (IPUS-DAR) using WSN network. This work aims to integrate three types of utility meters and minimize redundant routing data in the network by applying data aggregation that improves traffic performance. We discuss the computational complexity of proposed Data Routing with Data Aggregation algorithm. The comparative analysis of proposed Data Routing with Data Aggregation methodology with previous methods is analyzed. We investigate performance metrics which include packet delivery ratio, end-to-end delay, jitter, throughput and energy consumption with respect to varying network size using QUALNET.
										Abstract: At present most of the houses in the country have the traditional electromechanical or digital utility usage meters, water meter, and gas meters. Presently most of the utility meter reading, billing system and utility management is not automated. The recent advances in the wireless sensor networks (WSNs) have made strong impact on the development o...
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