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Imaging / Remote sensing / Landsat program / Cartography / Data analysis / Remote sensing application / Landsat 7 / Thematic Mapper / Cluster analysis / Statistics / Science / Spacecraft


CHANGE DETECTION FOR SUSTAINABILITY MONITORING USING SATELLITE REMOTE SENSING DATA T. F. Ng1, D. H. Jiang2, X. Jia1, D. J. Paull2 and X. H. Wang2 1 School of Engineering and Information Technology 2
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Document Date: 2013-02-03 20:23:53

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City

Atlanta / Norwell / Melbourne / Puckapunyal / /

Company

Coastal Management / John Wiley & Sons / /

Country

Australia / /

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Event

Environmental Issue / /

Facility

Mathematical Sciences The University of New South Wales / /

IndustryTerm

remote sensing applications / machine learning algorithms / study site / data processing / Satellite imagery / unsupervised clustering algorithm / reflected solar energy / mining / multi-temporal data processing / Satellite images / remote sensing data processing / /

NaturalFeature

Boxironbark forest / /

Organization

Victorian Government / Australian army / University of New South Wales at Canberra / Australian Government / School of Physical / School of Engineering and Information Technology / Sino-Australian Research Centre for Coastal Management / /

Person

Campbell / /

Position

D. J. / /

ProvinceOrState

Minnesota / New South Wales / Victoria / /

Region

South Wales / /

Technology

machine learning algorithms / REMOTE SENSING / Fuzzy Objective Function Algorithms / neural network / Information Technology / unsupervised clustering algorithm / Microwave / Data Mining / Machine learning / Simulation / FISC algorithm / /

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