Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count Approach

Zhang, Ying; Zhang, Wenjie; Pei, Jian; Lin, Xuemin; Lin, Qianlu; Li, Aiping

doi:10.1109/tkde.2012.250

Cited by 23 publications

(13 citation statements)

References 23 publications

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“…The BC count is a single-winner choice method in which voters rank options or candidates in order of preference and is often described as a consensus-based ranking system rather than a majority one. For a comprehensive description of BC, please refer to Zhang et al [30]. Table 2.…”

Section: Proposed Pansharpening Methods Based On the Rolling Guidance mentioning

confidence: 99%

“…With the objective of analyzing and visualizing the influence of this parameter on the quality of the pansharpened images, experiments were carried out on a wide range of σ s values (σ s = [1,2,3,4,5,6,7,8,9,10,20,30,40,50, 60]), obtaining a total of 45 pansharpened images for each of the images tested (QB Agricultural, WV Agricultural 1, WV Agricultural 2). The value of σ r was determined using Equation (18) [26]:…”

Section: Quality Assessmentmentioning

confidence: 99%

“…The performance of this method was compared with the WATFRAC, BT, GS, IHS and MTF-GLP (MTF using generalized Laplacian pyramid) [28] algorithms and evaluated using a set of spectral, spatial and overall quality indices [7,8]. The set of quality indices was summarized and compared using the Borda count (BC) method [29,30].…”

Section: Introductionmentioning

confidence: 99%

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Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

et al. 2016

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Abstract:Remote sensing (RS) has played an important role in extensive agricultural monitoring and management for several decades. However, the current spatial resolution of satellite imagery does not have enough definition to generalize its use in highly-fragmented agricultural landscapes, which represents a significant percentage of the world's total cultivated surface. To characterize and analyze this type of landscape, multispectral (MS) images with high and very high spatial resolutions are required. Multi-source image fusion algorithms are normally used to improve the spatial resolution of images with a medium spatial resolution. In particular, pansharpening (PS) methods allow one to produce high-resolution MS images through a coherent integration of spatial details from a panchromatic (PAN) image with spectral information from an MS. The spectral and spatial quality of source images must be preserved to be useful in RS tasks. Different PS strategies provide different trade-offs between the spectral and the spatial quality of the fused images. Considering that agricultural landscape images contain many levels of significant structures and edges, the PS algorithms based on filtering processes must be scale-aware and able to remove different levels of detail in any input images. In this work, a new PS methodology based on a rolling guidance filter (RGF) is proposed. The main contribution of this new methodology is to produce artifact-free pansharpened images, improving the MS edges with a scale-aware approach. Three images have been used, and more than 150 experiments were carried out. An objective comparison with widely-used methodologies shows the capability of the proposed method as a powerful tool to obtain pansharpened images preserving the spatial and spectral information.

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Section: Proposed Pansharpening Methods Based On the Rolling Guidance mentioning

confidence: 99%

Section: Quality Assessmentmentioning

confidence: 99%

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Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

et al. 2016

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“…KIRA implements ranking methodology using Borda count calculations [20][21][22] derived from election systems. The method determines the preferred items by giving each response points based on the position in which it is ranked by each respondent.…”

Section: Prioritization Of Immediate Needsmentioning

confidence: 99%

Kenya Inter-agency Rapid Assessment Mechanism (KIRA): A Bottom-up Humanitarian Innovation from Africa

Limbu

Wanyagi²,

Ondiek

et al. 2015

Procedia Engineering

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In a typical year, relief agencies respond to over 338 emergencies throughout the world. Twenty four per cent of those humanitarian crises are centred in Africa and few will rise to international attention unless they are rated as large scale emergencies. When a disaster occurs, irrespective of the scale and scope of the crisis, the humanitarian needs of the right-holders or affected communities are of equal importance, and relief agencies must be prepared to respond when needed. In Kenya, the Real Time Evaluation of the 2011 Horn of Africa drought identified that the lack of a rapid assessment mechanism was a major obstacle for the humanitarian community to provide high quality responses to people affected by disasters. UNICEF Kenya with UNOCHA East Africa, Assessment Capacities Project, RedR UK, Kenya Red Cross and the Kenyan Government put in place the partnership-based collaborative Kenya Inter Agency Rapid Assessment (KIRA) and established a mechanism capable of conducting a multi-agency, multi-sectoral assessment of humanitarian needs. As part of the Government-led rapid response mechanism in Kenya, over 700 humanitarian partners have been trained. This light-weight needs assessment mechanism, including easy-to-use technology for real-time data collection, has been used in 17 emergencies, including the South Sudan refugee crisis. The local authorities also used KIRA during inter-communal conflicts in areas bordering Somalia, which are still regarded as "no travel zones" for the United Nations in Kenya. Funded by DG-ECHO, KIRA has been a widely-acclaimed successful model for coordination, disaster preparedness, and enhanced assessment capacity for identifying the immediate humanitarian needs of right-holders. KIRA is currently in the process of scaling up in the region as part of South-South Cooperation. It is expected that the findings and recommendations of three years of KIRA practices in Kenya will have global significance on process-based and humanitarian

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“…For example, in multi-media database, an object (e.g., an image) may be mapped onto a set of feature vectors (i.e., points) [19,28,35]. The performance of an NBA player can be evaluated by his historical game records [26,25,42,37]. Suppose the number of points, assistants and rebounds are kept for each game record, a player can be described by a set of points in a three dimensional space.…”

Section: Introductionmentioning

confidence: 99%

Optimal Spatial Dominance

Wang

Zhang

et al. 2015

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data

Self Cite

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In many domains such as computational geometry and database management, an object may be described by multiple instances (points). Then the distance (or similarity) between two objects is captured by the pair-wise distances among their instances. In the past, numerous nearest neighbor (NN) functions have been proposed to define the distance between objects with multiple instances and to identify the NN object. Nevertheless, considering that a user may not have a specific NN function in mind, it is desirable to provide her with a set of NN candidates. Ideally, the set of NN candidates must include every object that is NN for at least one of the NN functions and must exclude every nonpromising object. However, no one has studied the problem of NN candidates computation from this perspective. Although some of the existing works aim at returning a set of candidate objects, they do not focus on the NN functions while computing the candidate objects. As a result, they either fail to include an NN object w.r.t. some NN functions or include a large number of unnecessary objects that have no potential to be the NN regardless of the NN functions.Motivated by this, we classify the existing NN functions for objects with multiple instances into three families by characterizing their key features. Then, we advocate three spatial dominance operators to compute NN candidates where each operator is optimal w.r.t. different coverage of NN functions. Efficient algorithms are proposed for the dominance check and corresponding NN candidates computation. Extensive empirical study on real and synthetic datasets shows that our proposed operators can significantly reduce the number of NN candidates. The comprehensive performance evaluation demonstrates the efficiency of our computation techniques.

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Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count Approach

Cited by 23 publications

References 23 publications

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes

Kenya Inter-agency Rapid Assessment Mechanism (KIRA): A Bottom-up Humanitarian Innovation from Africa

Optimal Spatial Dominance

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