欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了有效去除遥感影像中数据冗余问题，提出了一种基于受限的非负矩阵分解的影像融合算法，利用矩阵的非负性实现了中巴卫星多光谱影像和Landsat ETM＋高分辨率全色影像的融合。实验结果表明，与IHS变换，小波变换等传统融合方法比较，该方法在较好的保留光谱信息的同时，空间细节信息也得到了增强，同时具有较高的峰值信噪比。
英文摘要：
Data fusion on remote sensing is an important problem in image processing. The key for a successful image fusion is to find an effective and practical image fusion algorithm. To eliminate data redundancy for two different remote sensing images, a new approach using constrained non-negative matrix factorization for remote image fusion between Landsat ETM＋panchromatic and CBERS multi-spectral images was proposed. Visual and statistical analyses proved that the concept of fusion based on constrained non- negative matrix factorization was promising, and it improved significantly fusion quality and signal-to-noise ratio when compared to conventional IHS and wavelet fusion techniques.
同期刊论文项目
同项目期刊论文
Parthenon-genetic simulated annealing algorithm and its application in combinatorial optimization pr
Remote sensing image compression based on integer wavelet transform and double threshold alternating
New multiple regions of interest coding using partial bitplanes scaling for medical image compressio
New region of interest medical image coding for JPEG2000: Compensation-based partial bitplane altern
Still image denoising based on integer wavelet transform and fast recurrent generalized cross valida
Texture image retrieval based on the statistical model of Q-shift dual-tree complex wavelet coeffici
期刊信息
位置：