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Spectral/spatial hyperspectral image compression
Bharath Ramakrishna
, Antonio J. Plaza
, Chein I. Chang
,
Hsuan Ren
, Qian Du
, Chein Chi Chang
太空及遙測研究中心
資訊工程學系
太空科學與工程學系
研究成果
:
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同行評審
15
引文 斯高帕斯（Scopus）
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指紋
指紋
深入研究「Spectral/spatial hyperspectral image compression」主題。共同形成了獨特的指紋。
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Keyphrases
Spectral-spatial Feature
100%
Hyperspectral Image Compression
100%
Spatial Compression
90%
Lossy Compression
81%
Hyperspectral
72%
Principal Coordinate Analysis (PCoA)
63%
Compression Techniques
54%
Image Compression
45%
Signal-to-noise Ratio
36%
Spectral Information
36%
Mean Squared Error
36%
Lossless Compression
27%
3D Compression
27%
2D Image Compression
27%
Mixed pixel Classification
18%
Spatial Data
18%
Multispectral Imagery
18%
Spectral Correlation
18%
Spectral Compression
18%
Data Variance
18%
Image Analysis
9%
Spatial Resolution
9%
Signal Processing
9%
Object Detection
9%
Wavelet Basis
9%
Image Quality
9%
Easy-to-implement
9%
Remote Sensing Image
9%
Subpixel Target Detection
9%
Compression Algorithms
9%
Feature Extraction
9%
Image Data
9%
Spatial Image
9%
Imaging Spectrometer
9%
Spectral Bands
9%
3D Image
9%
Signal Source
9%
Application Data
9%
Signal Loss
9%
Redundancy
9%
Synthetic Images
9%
Comparative Analysis
9%
Video Processing
9%
Hyperspectral Image Cube
9%
Medical Imaging
9%
Compressed Data
9%
Low-dimensional Space
9%
Lossy
9%
JPEG2000
9%
Compression Ratio
9%
Significant Loss
9%
Spectral Resolution
9%
Unknown Signal
9%
Hyperspectral Imaging Sensor
9%
Real Image
9%
Image Interpretation
9%
Hand Videos
9%
Signal Energy
9%
Set Partitioning in Hierarchical Trees (SPIHT)
9%
Data Prior
9%
Data Compression
9%
2D Image
9%
Small Target
9%
Underlying Assumptions
9%
Communication Signal Processing
9%
Lawsuit
9%
Minor Components
9%
Direct Extension
9%
Entropy Reduction
9%
Data Exploitation
9%
Material Quantification
9%
Object Discrimination
9%
Redundancy Removal
9%
Extra Care
9%
Digital Image Collections
9%
Data Compaction
9%
3D Algorithms
9%
Engineering
Principal Components
100%
Hyperspectral Image Compression
100%
Compression Technique
90%
Lossy Compression
80%
Component Analysis
70%
Hyperspectral Image
50%
Signal-to-Noise Ratio
40%
Spectral Information
40%
Mean-Squared-Error
40%
Hyperspectral Imagery
30%
Data Volume
20%
Compression Algorithm
20%
Spatial Information
20%
Lossless Compression
20%
Spectral Correlation
20%
Hyperspectral Data
20%
Feature Extraction
10%
Image Analysis
10%
Direct Application
10%
Dimensional Space
10%
TV
10%
Spatial Resolution
10%
Video Processing
10%
Common Practice
10%
Spatial Image
10%
Source Signal
10%
Data Point
10%
Signal Energy
10%
Subpixels
10%
Image Data
10%
Comparative Analysis
10%
Target Tracking
10%
Compression Ratio
10%
Optimality
10%
Synthetic Image
10%
Real Image
10%
Spectral Resolution
10%
Image Interpretation
10%
Spectral Band
10%
Computer Science
Hyperspectral Image
100%
Image Compression
100%
Principal Components
66%
Compression Technique
60%
Lossy Compression
53%
Component Analysis
46%
Noise-to-Signal Ratio
26%
Data Compression
26%
Spectral Information
26%
Compression Algorithm
13%
Spatial Information
13%
Hyperspectral Data
13%
Pixel Classification
13%
Lossless Compression
13%
Spectral Correlation
13%
Image Quality
6%
Common Practice
6%
Application Data
6%
Video Processing
6%
Image Analysis
6%
Represent Data
6%
Lower Dimensional Space
6%
Compression Ratio
6%
Imaging Sensor
6%
Synthetic Image
6%
Object Detection
6%
High Definition
6%
Set Partitioning
6%
Comparative Analysis
6%
Underlying Assumption
6%
Medical Imaging
6%
Image Interpretation
6%
Data Exploitation
6%
Image Collections
6%
Entropy Reduction
6%
Feature Extraction
6%
Earth and Planetary Sciences
Hyperspectral Image
100%
Principal Component Analysis
46%
Spectral Correlation
13%
Spatial Analysis
13%
Spatial Resolution
6%
Wavelet
6%
Image Analysis
6%
Pattern Recognition
6%
Spectral Resolution
6%
Image Interpretation
6%
Spectrometer
6%
Compression Ratio
6%
Signal Processing
6%
Spectral Band
6%