Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

This study aimed to compare and assess different Geographic Object-Based Image Analysis
(GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) …

Among all the natural features, wetlands are the most difficult to map and monitor because of
their complicated morphology, ie, their diverse shapes and sizes, ranging from open …

Depletion of natural resources, population growth, urban migration, and expanding drought
conditions are some of the reasons why environmental monitoring programs are required …

The notion of self and cross-attention learning has been found to substantially boost the
performance of remote sensing (RS) image fusion. However, while the self-attention models …

In agriculture, plants plays a major role and taking attention of plants is very critical.
Generally, the plant are affected through various diseases like fungi, virus and bacteria …

This paper presents an evaluation of land cover accuracy, particularly regarding oil palm
crop cover, using optical/synthetic aperture radar (SAR) image fusion methods through the …

Spectral information and backscatter information are both exclusively important bases for
land cover classification, and these two kinds of information are found in multispectral …

Real-world datasets are often contaminated with label noise; labeling is not a clear-cut
process and reliable methods tend to be expensive or time-consuming. Depending on the …

Remote sensing image fusion can effectively solve the inherent contradiction between
spatial resolution and spectral resolution of imaging systems. At present, the fusion methods …