Efficient Retrieval of Massive Ocean Remote Sensing Images via a Cloud-Based Mean-Shift Algorithm
| Autor: | Haibin Mei, Mengzhao Yang, Wei Song |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
remote sensing (RS)
Computer science ocean disasters mean-shift algorithm pyramid HDFS storage Cloud computing 02 engineering and technology lcsh:Chemical technology Biochemistry Article Analytical Chemistry Text mining Pyramid 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Mean-shift Pyramid (image processing) Electrical and Electronic Engineering Instrumentation Image retrieval Remote sensing business.industry Hadoop system 020207 software engineering fast retrieval Atomic and Molecular Physics and Optics Remote sensing (archaeology) Computer data storage 020201 artificial intelligence & image processing business |
| Zdroj: | Sensors, Vol 17, Iss 7, p 1693 (2017) Sensors; Volume 17; Issue 7; Pages: 1693 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s17071693 |
| Popis: | The rapid development of remote sensing (RS) technology has resulted in the proliferation of high-resolution images. There are challenges involved in not only storing large volumes of RS images but also in rapidly retrieving the images for ocean disaster analysis such as for storm surges and typhoon warnings. In this paper, we present an efficient retrieval of massive ocean RS images via a Cloud-based mean-shift algorithm. Distributed construction method via the pyramid model is proposed based on the maximum hierarchical layer algorithm and used to realize efficient storage structure of RS images on the Cloud platform. We achieve high-performance processing of massive RS images in the Hadoop system. Based on the pyramid Hadoop distributed file system (HDFS) storage method, an improved mean-shift algorithm for RS image retrieval is presented by fusion with the canopy algorithm via Hadoop MapReduce programming. The results show that the new method can achieve better performance for data storage than HDFS alone and WebGIS-based HDFS. Speedup and scaleup are very close to linear changes with an increase of RS images, which proves that image retrieval using our method is efficient. |
| Databáze: | OpenAIRE |
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