Several remote sensing based indices have been developed for studying vegetation using
varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar …

There is no such thing as 'the best image fusion method'in terms of both spectral and spatial
fidelity. This fact encourages the researchers to develop more advanced approaches in …

In the present study, we aim to propose an effective and robust ensemble-learning approach
with stacked generalization for image segmentation. Initially, the input images are processed …

Traditional and convolutional neural network (CNN)-based geographic object-based image
analysis (GeOBIA) land-cover classification methods prosper in remote sensing and …

This study proposed a metaheuristic pansharpening (MP) method, which performs in a
Synthetic Variable Ratio (SVR)-like manner. The proposed method introduced the Symbiotic …

Image Enhancement aims at processing an image in such a manner that the resultant is
more appropriate than original image for any specific application. This article focuses on …

Image fusion aims to spatially enhance a low-resolution multispectral (MS) image by utilizing
a high-resolution panchromatic (Pan) band. Various image fusion methodologies have been …

This study proposed to improve the performance of the conventional synthetic variable ratio
(SVR) image fusion algorithm by means of the genetic algorithm (GA). The proposed GA …

Pansharpened images are frequently utilized as base data in image classification
applications. Nonetheless, the accuracy of image classification heavily relies on the …

The coarse spatial resolutions of hyperspectral (HS) satellite images limit their use in many
applications. The spatial structure quality of HS images can be improved by fusing them …