Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …

Different varieties of fresh lotus seeds have varying levels of amylose content. It has a direct
impact on the following processing and final product quality, so the non-destructive detection …

Pear anthracnose, caused by Colletotrichum bacteria, is a severe infectious disease that
significantly impacts the growth, development, and fruit yield of pear trees. Early detection of …

With the increase in multispectral and hyperspectral satellite data availability, the necessity
of interpreting and processing such data is also growing. Satellite imagery can be used in a …

With the availability of several remotely sensed data sources, the problem of efficiently
visualizing the information from multisource data for improved Earth observation becomes …

This study presents a methodology based on multiple local support vector regression (SVR)
for calibrating the spectra taken in the field in relative to lab-derived spectra. Laboratory …

This chapter presents the digital transformation in agriculture. The Remote Sensing domain
opened incredible possibilities for the analysis and monitoring of our planet. The satellites …

We propose both a probabilistic fractal model and fractal dimension estimator for multi-
spectral images. The model is based on the widely known fractional Brownian motion fractal …

Ultraviolet (UV)-reflectance is an essential signal of many plant species, which use
wavelength-selective pigments in floral reproductive structures to determine the color of …

Displaying a hyperspectral image on a trichromatic monitor poses the problem of reducing
the large number of bands to just three colour channels. In this letter, a new visualization …