This paper presents a combined Entropy Decomposition and Support Vector Machine
(EDSVM) technique for Synthetic Aperture Radar (SAR) image classification with the …

Early models for paddy fields consist of a single-layered medium in which coherent effects
within clusters of leaves are considered but multiple volume scattering is not. In this paper …

Very little work has been carried out to examine the potential of synthetic aperture radar
(SAR) imaging data for growth monitoring, disease monitoring, and yield prediction of oil …

Studies on the potential of using synthetic aperture radar (SAR) imaging data for remote
sensing in oil palm growth needs to be done in depth. In this paper, we utilized a scattering …

The study of scattered fields from nonspherical scatterers is becoming an important subject
particularly in the area of theoretical modeling of microwave backscatter from vegetation …

Traditionally, Radiative Transfer (RT) formulation has been used to simulate scattering from
snow layer with the incorporation of phase matrix of scatterers in the formulation. Typically …

Remote sensing has been used widely in studying the earth terrain such as snow or sea ice
due to its fast, convenient and long-term monitoring capabilities. SAR images acquired could …

We present an efficient approach to compute the second-order scattering of an
electromagnetic wave by two discrete scatterers in proximity to each other. Such a two-body …

In this chapter, we discuss wave scattering in dense inhomogenous media, when the mean
distance between discrete scatterers embedded in the medium is smaller than the …

Owing to the temporal and spatial variability of the emissivity spectra, problems remain in the
interpretation and application of satellite passive microwave data over vegetation-covered …