Abstract
Due to the high number of bands in the hyperspectral image, the selection of optimum bands for crop classification is a prerequisite. The Hyperion sensor has 242 spectral bands out of which 143 useable bands were selected. The bands reflected wavelength from 400 to 1000 nm to the VNIR spectrometer and transmitted the band from 900 to 2500 nm to the SWIR spectrometer. Spectral Angle Mapping Classification (SAMC) approach and a multi-scale object oriented method are applied for crop studies. The result obtained from the accuracy assessment by comparing Ground Control Points (GCP) with the help of image spectra shows 78% of overall accuracy. This shows that these data are highly useful in studying the crop diversification.
Highlights
Hyperspectral remote sensing or Imaging spectrometry is “the simultaneous acquisition of images in many relatively narrow, contiguous and/or non-contiguous spectral bands throughout the ultraviolet, visible and infrared portions of the electromagnetic spectrum” [1]
Hyperspectral remote sensing is a new technology that is currently being investigated by researchers and scientists with regard to the detection and identification of minerals, terrestrial vegetation and man-made materials and backgrounds
Data processing operations for preparation of the Hyperion data for classification including band selection, correction for bad lines, striping pixels and smile, a pixel based atmospheric correction using FLAASH and a co-alignment were performed as follow
Summary
Hyperspectral remote sensing or Imaging spectrometry is “the simultaneous acquisition of images in many relatively narrow, contiguous and/or non-contiguous spectral bands throughout the ultraviolet, visible and infrared portions of the electromagnetic spectrum” [1]. Hyperspectral remote sensing is a new technology that is currently being investigated by researchers and scientists with regard to the detection and identification of minerals, terrestrial vegetation and man-made materials and backgrounds. In comparison to multispectral remote sensing which records reflectance from a target in few broad channels, a hyperspectral imaging system acquires information in more than 100 very narrow, defined continuous spectral bands. Radiation from any specified target has been obtained continuously; making it possible to gain detailed information. How to cite this paper: Singh, D. and Singh, R.
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