Study of spectral characterization of electro optical sensors and apply it to analyze multispectral and hyper spectral payloads

Abstract

Reliable and accurate spectral information for Remote Sensing electro-optical payload is backbone newlinefor correct understanding of target properties from payload imageries. The work presented in this newlinethesis is aimed to understand and determine correct spectral properties of electro-optical (EO) newlinepayloads and utilize for remote sensing applications. The signal received at the payload during its newlineon orbit operation is the result of convolution of target, earth atmosphere and spectral newlinecharacteristics of the payload itself. Payload characterization is very important for its effective and newlineproper utilization after launch. After development of electro -optical payloads three main newlinecharacterization (Optical, Radiometric and Spectral characterization) will determine its best usage. newlineSpectral characterization will determine correct instrument response to input electromagnetic newlineradiation. Payload spectral response is the integrated response of all its components like optics, newlinefilter and detector. One of the requirement is to determine accurate spectral parameters of the newlinepayload like central wavelength, bandwidth and absolute payload response for a given input newlineElectro-Magnetic Radiation. This knowledge leads the researcher to understand its proper newlineadvantage by knowing the target properties in the specified spectral range. In this regard, the main newlineobjective of this thesis is to study the spectral characterization of multispectral and hyperspectral newlinetype of electro-optical payloads and utilize it for various important applications like spectral newlineparameters computation, Spectral Band Adjustment Factor(SBAF) determination for IRS sensors newlinelike Resourcesat-2,2A, OCM2, Chandrayaan-1 HySI Payload etc. Further image correction newlinealgorithm is also developed for spectral overlap correction for Mars Color Camera (MCC). newlineMoment Method is very useful to determine spectral parameters of the EO sensor as it consider the newlinesignal in full spectral range and almost full signal entering in the payload is considered for newlinecomputation. It provides more realistic results for both multispectral and hyper spe ctral payloads newlineconsidered in this thesis. newlineFurther the study provided in this thesis, examined the variability in sensor response due to intrinsic newlinedifference in Relative Spectral Response (RSR) between different Indian remote sensing sensors newlineand its implication. The detailed study is carried out for compensation of difference in spectral newlineresponse of two similar type of sensor using the Spectral Band Adjustment factor(SBAF) method. newlineThe study showed that it is very important for intercalibration of two sensors, and required to be newlineconsidered then only results of different satellite can be brought to a common reference scale. Now newlinea days intercalibration among various sensors is very important to assimilate their data. Using this newlinetechnique, various sensor data corresponding to wide range of temporal and spatial scale can be newlinegenerated which is extremely important to earth resource monitoring, time series analysis and newline