The identification of species within an ecosystem plays a key role in formulating an inventory for use in the development of conservation management plans. The classification of mangrove species typically involves intensive field surveys, whereas remote sensing techniques represent a cost-efficient means of mapping and monitoring mangrove forests at large scales. However, the coarse spectral re...

high-resolution imagery such as ikonos satellite can produce useful information for many resource management applications. we investigated the capability of pan and multi spectral ikonos imagery of one region of tehran dated from 2005 in urban vegetation management and mapping of green cover. after data quality of images for radiometric noises, the images were geometrically corrected by polynom...

This study evaluated how spectral resolution of high-spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a meas...

A new multiplexing technique based on mapping method called Novel Mapping Multiplexing (NMM) is proposed and well demonstrated. It is reported that spectral width occupied by 40 Gb/s NMM is 40 GHz with spectral efficiency of 1bit/sec/Hz that shows a clear advantage over the conventional NRZ-OOK and RZ-OOK with same data rate of 40Gbits/sec having spectral efficiency of 0.5bit/sec/Hz and 0.25bit...

Families of operators that are triangularizable must necessarily satisfy a number of spectral mapping properties. These necessary conditions are often sufficient as well. This thesis investigates such properties in finite dimensional and infinite dimensional Banach spaces. In addition, we investigate whether approximate spectral mapping conditions (being “close” in some sense) is similarly a su...

Recent sensor development including high spatial resolution spaceborne systems like IKONOS as well as hyperspectral sensors like AVIRIS have the potential for more detailed and accurate mapping of urban land cover and land use. However, the new spaceborne sensors are limited in their spectral resolution with just four multispectral bands and few studies have focused on the issues of spectral pr...

Spectral unmixing of urban land cover relies on representative endmember libraries. For repeated mapping of multiple cities, the use of a generic spectral library, capturing the vast spectral variability of urban areas, would constitute a more operational alternative to the tedious development of image-specific libraries prior to mapping. The size and heterogeneity of such a generic library req...

In this paper, we explore connections between the Lipari-Szabo formalism and reduced spectral density mapping, and show how spectral density estimates can be associated with Lipari-Szabo parameters via a simple geometric construction which we call Lipari-Szabo mapping. This relationship can be used to estimate Lipari-Szabo parameters from spectral density estimates without the need for nonlinea...