Land use optimization (LUO) first considers which types of land use should exist in a certain
area, and secondly, how to allocate these land use types to specific land grid units. As an …

Image fusion is capable of processing multiple heterogeneous images acquired by single or
multi-sensor imaging systems for an improved interpretation of the targeted object or scene …

In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

A novel fuzzy decision tree is proposed in this paper (the FDT-support vector machine (SVM)
classifier), where the node discriminations are implemented via binary SVMs. The tree …

In this paper, a novel Takagi-Sugeno-Kang (TSK) fuzzy classification system (FCS) is firstly
presented for pattern classification tasks. It is distinguished by having the large margin …

Wetlands have and continue to undergo rapid environmental and anthropogenic
modification and change to their extent, condition, and therefore, ecosystem services. In this …

Image fusion has been developing into an important area of research. In remote sensing, the
use of the same image sensor in different working modes, or different image sensors, can …

This paper proposes the use of a genetic fuzzy-rule-based classification system for land
cover classification from hyperspectral images. The proposed classifier, namely, Feature …

This study investigates the effectiveness of combining multispectral very high resolution
(VHR) and hyperspectral satellite imagery through a decision fusion approach, for accurate …

A decision fusion approach is developed to combine the results from supervised and
unsupervised classifiers. The final output takes advantage of the power of a support-vector …