Unmixing-based content retrieval system for remotely sensed hyperspectral imagery on GPUs

2014 ◽  
Vol 70 (2) ◽  
pp. 588-599 ◽  
Author(s):  
Jorge Sevilla ◽  
Sergio Bernabe ◽  
Antonio Plaza
Keyword(s):  
Retrieval System ◽  
Hyperspectral Imagery ◽  
Remotely Sensed ◽  
Content Retrieval

scholarly journals A Parallel Unmixing-Based Content Retrieval System for Distributed Hyperspectral Imagery Repository on Cloud Computing Platforms

2021 ◽  
Vol 13 (2) ◽  
pp. 176
Author(s):  
Peng Zheng ◽  
Zebin Wu ◽  
Jin Sun ◽  
Yi Zhang ◽  
Yaoqin Zhu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Retrieval System ◽  
Hyperspectral Image ◽  
Parallel Implementation ◽  
Remotely Sensed Data ◽  
Web Interfaces ◽  
Content Retrieval ◽  
Service Mode ◽  
Computing Platforms

As the volume of remotely sensed data grows significantly, content-based image retrieval (CBIR) becomes increasingly important, especially for cloud computing platforms that facilitate processing and storing big data in a parallel and distributed way. This paper proposes a novel parallel CBIR system for hyperspectral image (HSI) repository on cloud computing platforms under the guide of unmixed spectral information, i.e., endmembers and their associated fractional abundances, to retrieve hyperspectral scenes. However, existing unmixing methods would suffer extremely high computational burden when extracting meta-data from large-scale HSI data. To address this limitation, we implement a distributed and parallel unmixing method that operates on cloud computing platforms in parallel for accelerating the unmixing processing flow. In addition, we implement a global standard distributed HSI repository equipped with a large spectral library in a software-as-a-service mode, providing users with HSI storage, management, and retrieval services through web interfaces. Furthermore, the parallel implementation of unmixing processing is incorporated into the CBIR system to establish the parallel unmixing-based content retrieval system. The performance of our proposed parallel CBIR system was verified in terms of both unmixing efficiency and accuracy.

An Efficient Voice Enabled Web Content Retrieval System for Limited Vocabulary

2012 ◽  
pp. 390-398
Author(s):  
G. R. Bharath Ram ◽  
R. Jayakumaur ◽  
R. Narayan ◽  
A. Shahina ◽  
A. Nayeemulla Khan
Keyword(s):  
Retrieval System ◽  
Web Content ◽  
Content Retrieval

Superpixel-Guided Sparse Unmixing for Remotely Sensed Hyperspectral Imagery

2019 ◽  
Author(s):  
Shaoquan Zhang ◽  
Chengzhi Deng ◽  
Jun Li ◽  
Shengqian Wang ◽  
Fan Li ◽  
...  
Keyword(s):  
Hyperspectral Imagery ◽  
Remotely Sensed

A Proposal of P2P Content Retrieval System Using Access-Based Grouping Technique

2010 ◽  
pp. 455-463
Author(s):  
Takuya Sasaki ◽  
Jun Sawamoto ◽  
Takashi Katoh ◽  
Yuji Wada ◽  
Norihisa Segawa ◽  
...  
Keyword(s):  
Retrieval System ◽  
Content Retrieval
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