Terrain classification is an important research direction in the field of remote sensing.
Hyperspectral remote sensing image data contain a large amount of rich ground object …

Text Mining which is known as text analysis, is defined as the process to extract the proper
text patterns from the unstructured text data, which are collected from different written …

The PROSPECT model, one of the most popular leaf radiative transfer models, has long
been used for retrieving leaf biochemical traits from leaf directional-hemispherical …

Hyperspectral image (HSI) classification methods based on three-dimensional convolutional
neural network (3DCNN) have problems of overfitting the in-sample training process and …

Collaborative Representation (CR) models have been successfully employed for
Hyperspectral Images (HSIs) classification because of the effectiveness and simplicity …

In this study, we introduced a preprocessing novel transformation approach for multifocus
image fusion. In the multifocus image, fusion has generated a high informative image by …

A large amount of remote sensing data can be easily acquired due to the increase in the
advances in sensor's technologies. The sensors can generate high-dimensional data in a …

Multi-focus image fusion produces a unification of multiple images having different areas in
focus, which contain necessary and detailed information in the individual image. The paper …

Abstract Empirical Dynamic Modeling (EDM) has been a powerful tool for complex
ecosystem prediction by providing an equation-free modelling framework. Theoretically, it …

For the HSI classification, the recently introduced nearest regularized subspace (NRS)
classifier outperform the sparse representation-based classification (SRC) and collaborative …