The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Plant diseases are responsible for major economic losses in the agricultural industry
worldwide. Monitoring plant health and detecting pathogen early are essential to reduce …

The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …

Land cover–land use (LCLU) classification tasks can take advantage of the fusion of radar
and optical remote sensing data, leading generally to increase map** accuracy. Here we …

Reliable, precise and accurate estimates of disease severity are important for predicting
yield loss, monitoring and forecasting epidemics, for assessing crop germplasm for disease …

Endmember extraction is a process to identify the hidden pure source signals from the
mixture. In the past decade, numerous algorithms have been proposed to perform this …

Hyperspectral unmixing is one of the most important techniques in analyzing hyperspectral
images, which decomposes a mixed pixel into a collection of constituent materials weighted …

Coast is a unique environment in which atmosphere, hydrosphere and lithosphere contact
each other. Coastline is one of the most important linear features on the earth's surface …

In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …