Leaf area index (LAI) is an important surface biophysical parameter as an input to many process-oriented ecosystem models. Remote sensing technology provides a practical way to estimate LAI at a large spatial scale, and hence, considerable effort has been expended in developing LAI estimation models from remotely sensed imagery. LAI estimation models were usually formulated using multi-spectral...

Hyper spectral images are of high dimension. There are many number of data channels in a hyper spectral image. Segmentation of hyper spectral images is very difficult. In this paper a new segmentation technique for multispectral images is proposed. This paper introduces a concept that combined algorithm of FCM (fuzzy C) and fractional order Darwinian PSO can perform better in terms of classific...

to control the nonlinear numerical instability, throughout the time evolution of the eulerian form of the nonlinear rotating shallow water equations, it is necessary to add numerical diffusion to the solution. it is clear that, this extra numerical diffusion degrades the accuracy of the numerical solution and should be kept as small as possible. in a conventional approach a hyper-diffusion is u...

Hyper-spectral Image is a three dimensional array containing spatial (image) information on x & y axis and spectral information on z axis. It is high resolution imagery. Hyper-spectral image is a dynamic & powerful method to visualize data in terms of spatial & spectral features. It consumes a huge amount of storage. So due to large memory requirements, Hyperspectral images demand efficient com...

Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extraction of robust features (image descriptors) is not a trivial issue. Thus, to facilitate efficient feature extraction, decorrelation t...

In present days remote sensing is most used application in many sectors. This remote sensing uses different images like multispectral, hyper spectral or ultra spectral. The remote sensing image classification is one of the significant method to classify image. In this state we classify the maximum likelihood classification with fuzzy logic. In this we experimenting fuzzy logic like spatial, spe...