Near lossless compression of hyperspectral images based on distributed source coding
نویسندگان
چکیده
منابع مشابه
Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images
This paper deals with the application of distributed source coding (DSC) theory to remote sensing image compression. Although DSC exhibits a significant potential in many application fields, up till now the results obtained on real signals fall short of the theoretical bounds, and often impose additional system-level constraints. The objective of this paper is to assess the potential of DSC for...
متن کاملPerformance Evaluation of Distributed Source Coding for Lossless Compression of Hyperspectral Images
This paper deals with the application of distributed source coding (DSC) theory to remote sensing image compression. Although DSC exhibits a significant potential in many application fields, up to now the results obtained on real signals fall short of the theoretical bounds, and often impose additional system-level constraints. The objective of this paper is to assess the potential of DSC for o...
متن کاملLossless Predictive Compression of Hyperspectral Images
After almost three decades of successful data acquisition using multispectral sensors the first space based hyperspectral sensors were launched in 2000 on the NASA EO-1 satellite. However, airborne hyperspectral sensors such as AVIRIS, among others, have been generating useful data for many years. The advent of the space-borne ALI and Hyperion sensors as well as the successes of AVIRIS presage ...
متن کاملMultiband and Lossless Compression of Hyperspectral Images
Hyperspectral images are widely used in several real-life applications. In this paper, we investigate on the compression of hyperspectral images by considering different aspects, including the optimization of the computational complexity in order to allow implementations on limited hardware (i.e., hyperspectral sensors, etc.). We present an approach that relies on a three-dimensional predictive...
متن کاملCONTEXT−BASED PREDICTIVE LOSSLESS CODING FOR HYPERSPECTRAL IMAGES (WedAmPO3)
A cluster−based lossless compression algorithm for hyperspectral images is presented. Clustering is carried out on the original data according to the vectors spectra, and it is used to set up multiple contexts for predictive lossless coding. Low−order predictions are performed using adaptive Linear Least Squares (LLS) estimations which exploit the additional information provided by clustering. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2012
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-012-4686-4