10875

Implementation of Spectral Angle Mapper (SAM) Algorithm on a Graphic processing unit (GPU)

Balaji Vengatesh M.
Information Technology, SRM UNIVERSITY, Chennai, India
International Journal of Engineering Development and Research (IJEDR), Volume 1, Issue 2, 2013
@article{balaji2013implementation,

   title={Implementation of Spectral Angle Mapper (SAM) Algorithm on a Graphic processing unit (GPU)},

   author={Balaji Vengatesh, M},

   year={2013}

}

Download Download (PDF)   View View   Source Source   

864

views

The Need for Hyper spectral Images for Exploration of Oil and Other Minerals are so massive. We can tap the high computational power available now for faster tracking of those minerals underneath. In this paper, we Implement an Algorithm called Spectral angle mapper(SAM) using compute unified device architecture(CUDA) framework on a GPU. The SAM algorithm is fit for parallel and distributed computing, but we use a Graphic processing unit to implement it in parallel. This paper studied the balance between resource acquirement of each thread and the number of active blocks, and the impact of computational complexity on speedup. We also Improved the SAM algorithm to use several training samples instead of one. At the end of this paper we show quantitative results of comparison on speedup with the earlier use of ENVI, the only software for the analysis of hyper spectral images with our latest implementation on CUDA.
VN:F [1.9.22_1171]
Rating: 3.0/5 (1 vote cast)
Implementation of Spectral Angle Mapper (SAM) Algorithm on a Graphic processing unit (GPU), 3.0 out of 5 based on 1 rating

* * *

* * *

TwitterAPIExchange Object
(
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
        (
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1475294559
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1475294559
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => p+SiTj6fettnFccYeiegh8XfEJk=
        )

    [url] => https://api.twitter.com/1.1/users/show.json
)
Follow us on Facebook
Follow us on Twitter

HGPU group

2005 peoples are following HGPU @twitter

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: