Current Advances in Hyperspectral Remote Sensing in Urban Planning
A Nisha, A. Anitha
Abstract
Hyperspectral cameras collect loads of spectral bands of notably slender bandwidths simultaneously thereby to extract the spectral signatures of items and substances which offers a better recognition and identification of items on city areas. In this paper the precise specific application of hyperspectral remote sensing to city planning is examined. In recent times more than 55% of the population can stay in towns and the non-stop increase in urban vicinity causes severe damage to biodiversity such as pollution, global warming and many more. Consequently city planning has turned out to be vital to make life secure in towns. Hyperspectral imaging is beneficial to detect, discriminate, and recognize city buildings, sealed soils, vegetation, water surfaces, roads, etc and to assess their real locations and areas to create a better environment. This paper additionally gives an outline of hyperspectral image processing strategies and suggestions for proper urban making plans using hyperspectral technology.