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Proceedings Paper

Comparison of object spectral reflectance from WorldView-2 image and field measurement
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Paper Abstract

Spectral reflectance of objects provides key recognition of objects from remote sensing data. Each surface objects have their own specific spectral reflectance pattern that acts as a spectral fingerprint for object discrimination. This study aims to evaluate the effectiveness of radiometric correction applied to WorldView-2 image by comparing the image correction result with field spectrometer measurement. Some objects were chosen as the basis for observing object spectral reflectance, namely grass, non-mangrove vegetation, mangrove vegetation, soil, and asphalt. The WorldView-2 image was radiometrically and spectrally corrected up to at-surface reflectance level using provided procedures. For reference, the spectral reflectance of selected objects were collected in the field using a JAZ EL-350 field spectrometer (340-1028 nm). In order to perform a direct comparison and evaluation, the results of object spectral reflectance of field spectrometer were resampled based on the center wavelength of WorldView-2 image bands (i.e. from thousand to eight bands). This study found that the spectral reflectance patterns of all targeted objects were similar. However, the most accurate spectral reflectance of WorldView-2 image object was asphalt. Asphalt has high colour homogeneity and relatively stable in a long period of time. This study shows that the standard image radiometric and spectral correction approach is effective to represent the spectral reflectance of objects on Earth surface.

Paper Details

Date Published: 24 December 2019
PDF: 9 pages
Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 113721U (24 December 2019); doi: 10.1117/12.2541768
Show Author Affiliations
Zulfikri Isnaen, Univ. Gadjah Mada (Indonesia)
Muhammad Kamal, Univ. Gadjah Mada (Indonesia)
Denny Wijaya Kusuma, Institute for Maritime Affairs and Fisheries (Indonesia)


Published in SPIE Proceedings Vol. 11372:
Sixth International Symposium on LAPAN-IPB Satellite
Yudi Setiawan; Lilik Budi Prasetyo; Tien Dat Pham; Kasturi Devi Kanniah; Yuji Murayama; Kohei Arai; Gay Jane P. Perez, Editor(s)

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