Automatic Estimation of Threshold Values for Change Detection of Multi-temporal Remote Sensing Images |
박노욱
(한국지질자원연구원 지질자원정보센터)
지광훈 (한국지질자원연구원 지질자원정보센터) 이광재 (한국항공우주연구원 위성 정보처리그룹) 권병두 (서울대학교 지구과학교육과) |
1 |
The determination of optimal threshold levels for change detection using various accuracy indices
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Change vector analysis: a technique for the multispectral monitoring of land cover condition
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3 |
Accuracy assessment curves for satellite-based change detection
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5 |
Maximum likelihood from incomplete data via the EM algorithm
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6 |
Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features
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ScienceOn |
7 |
Applications of principal component analysis and fuzzy set operation to change detection of urban environment using Landset data
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과학기술학회마을 |
8 |
Detecting the nature of change of machine learning algorithms
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9 |
An assessment of YM imagery for land-cover change detection
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10 |
Digital change detection techniques using remotely-sensed data
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ScienceOn |
11 |
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12 |
A change detection method for remotely sensed multispectral and multitemporal images using 3-D segmentation
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ScienceOn |
13 |
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14 |
An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images
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ScienceOn |
15 |
The expectation-maxmization algorithm
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ScienceOn |
16 |
Automatic analysis of the difference image for unsupervised change detection
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