Abstract:
Requirements for higher resolution remote sensing images lead to rapid increase of data amount in space communications. However, since satellite communications capacity i...Show MoreMetadata
Abstract:
Requirements for higher resolution remote sensing images lead to rapid increase of data amount in space communications. However, since satellite communications capacity is suffering from great pressure, seeking for more effective compression scheme is supposed to solve existing conflict between tremendous data and limited bandwidth. For this reason, this paper proposes a prior-information-based remote sensing image compression scheme. We firstly utilize prior information contained in historical remote sensing images for incremental image extraction, which is assumed to have removed redundant information possessed both on the satellite and ground. Moreover, Bayesian dictionary serves to sparsely represent the incremental image, generating finite number of representation coefficients in place of numerous pixels. Finally, quantization and encoding schemes are further designed for efficient data transmission. Experimental results show that the proposed scheme is competitive to existing general image compression schemes.
Date of Conference: 04-07 June 2017
Date Added to IEEE Xplore: 16 November 2017
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Bayesian Inference ,
- Remote Sensing ,
- Remote Sensing Images ,
- Image Compression ,
- Dictionary Learning ,
- Bayesian Dictionary Learning ,
- Bayesian Dictionary ,
- Satellite ,
- Prior Information ,
- Community Spaces ,
- Limited Bandwidth ,
- Compression Scheme ,
- Representation Coefficients ,
- Learning Algorithms ,
- Change Detection ,
- Wavelet Transform ,
- Target Image ,
- Representation Learning ,
- Sparse Representation ,
- Sparse Coefficients ,
- Discrete Cosine Transform ,
- Scale-invariant Feature Transform ,
- Dictionary Atoms ,
- Radiative Corrections ,
- Random Sample Consensus ,
- Lossless Compression ,
- Discrete Random Variable ,
- Histogram Matching ,
- Standard Compression
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Bayesian Inference ,
- Remote Sensing ,
- Remote Sensing Images ,
- Image Compression ,
- Dictionary Learning ,
- Bayesian Dictionary Learning ,
- Bayesian Dictionary ,
- Satellite ,
- Prior Information ,
- Community Spaces ,
- Limited Bandwidth ,
- Compression Scheme ,
- Representation Coefficients ,
- Learning Algorithms ,
- Change Detection ,
- Wavelet Transform ,
- Target Image ,
- Representation Learning ,
- Sparse Representation ,
- Sparse Coefficients ,
- Discrete Cosine Transform ,
- Scale-invariant Feature Transform ,
- Dictionary Atoms ,
- Radiative Corrections ,
- Random Sample Consensus ,
- Lossless Compression ,
- Discrete Random Variable ,
- Histogram Matching ,
- Standard Compression