Analisis Misalignment Citra Multispektral Terhadap Citra Pankromatik Pada Data Worldview-2

Randy Prima Brahmantara, Kustiyo Kustiyo

Abstract

The standard data of Worldview-2 owned by LAPAN is Ortho-Ready Standard level 2 (OR2A) data consisting of 4 multispectral bands (blue, green, red, NIR) and one panchromatic band each 2 m and 0,5 m spatial resolution. Both images have different metadata and RPC, making it possible to perform geometric corrections separately. This paper discusses the analysis of the inaccuracies of multispectral image positions to panchromatic images compared to those that have been systematically geometric corrected. The method used is fast fourier transform phase matching by taking 500 binding points between the two images. The measurement results prove that the multispectral image of the Worldview-2 data of the OR2A level has a larger shift compared with multispectral image that has been systematically geometric corrected. The multispectral image of the OR2A data shifts are 2,14 m on the X-axis and 0,42 m on the Y-axis. While the multispectral image that has been systematically geometric corrected shifts are 1,72 m on the X-axis and 0,54 m on the Y-axis.

ABSTRAK

Data standar Worldview-2 yang dimiliki oleh LAPAN merupakan data Ortho-Ready Standard level 2 (OR2A) yang terdiri dari 4 kanal multispektral (biru, hijau, merah, NIR) dan satu kanal pankromatik masing-masing memiliki resolusi spasial 2 meter dan 0,5 meter. Kedua kanal tersebut memiliki metadata dan RPC yang berbeda, sehingga memungkinkan untuk melakukan koreksi geometrik secara terpisah. Tulisan ini membahas tentang analisis misalignment citra multispektral terhadap citra pankromatik dibandingkan dengan yang telah terkoreksi geometrik sistematik. Metode yang digunakan adalah fast fourier transform phase matching dengan mengambil 500 titik ikat antara kedua citra tersebut. Hasil pengukuran membuktikan bahwa citra multispektral data Worldview-2 level OR2A memiliki pergeseran yang lebih besar dibandingkan dengan citra multispektral yang terkoreksi geometrik sistematik. Citra multispektral data OR2A bergeser 2,14 meter pada sumbu X dan 0,42 meter pada sumbu Y. Sedangkan citra multispektral data terkoreksi geometrik sistematik bergeser 1,72 meter pada sumbu X dan 0,54 meter pada sumbu Y.

Keywords

Worldview-2; Ortho-Ready Standard; OR2A; koreksi geometri; registrasi citra;misalignment

Full Text:

PDF

References

Aiazzi, B., Baronti, S. & Selva, M., (2007). Improving Component Substitution Pansharpening Through Multivariate Regression of MS + PAN Data. IEEE Grodecki, J. & Dial, G., (2003). Block Adjustment of High-Resolution Satellite Images Described by Rational Polynomials. Photogrammetric Engineering & Remote Sensing

(1):59–68.

Jawak S. D. & Luis A.J., (2013). A

Spectral Index Ratio-Based Antarctic Land-Cover Mapping Using Hyperspatial 8-Band Worldview-2 Imagery. Polar Sci. 7:18–38. doi: 10.1016/j.polar.2012.12.002.

Kim Y. & Kim Y., (2014). Improved Classification Accuracy Based on the Output-Level Fusion of High-Resolution Satellite Images and Airborne LIDAR Data in Urban Area. IEEE Geosci. Remote Sens. Lett. 11:636–640.

Trans. Geosci. Remote Sens. 45, 3230–

Averbuch, A. & Y. Keller., (2002). FFT Based Image Registration. IEEE International Conference on Acoustics, Speech, and Signal Processing 4: IV-3608-IV-3611.

Baronti, S., Aiazzi B., Selva M., Garzelli A. & Alparone L., (2011). A Theoretical Analysis of the Effects of Aliasing and Misregistration on Pansharpened Imagery. IEEE J. Sel. Top. Signal Process. 5:446–453. doi: 10.1109/JSTSP.2011.2104938.

Blanc P., Wald L. & Ranchin T., (1998). Importance and Effect of Co- Registration Quality in an Example of “Pixel to Pixel” Fusion Process. Proceedings of the 2nd International Conference on Fusion of Earth Data: Merging Point Measures, Raster Maps Remotely Sensed Images; Sophia Antipolis, France. 28–30 January 1998; Nice, France: SEE/URISCA;

pp. 67–74.

Brahmantara, R. P. & Kustiyo., (2016). Sistem Pengolahan dan Katalogisasi Data Worldview-2. Prosiding Seminar Nasional Penginderaan Jauh 2016.

Cheng, P. & Chuck C., (2010). WorldView-2 Pan-Sharpening and Geometric Correction. GEO Informatics 13(June):30–33.

Flusser, J. & Zitova, B., (2003). “Image Registration Methods: A Survey.” 21:977–1000.

Sambodo, K.A., (2011). Ortho-Rektifikasi Data ALOS PALSAR dengan Menggunakan Data Digital Elevation Model (DEM) dan Teknik Registrasi Citra Berdasarkan Fast Fourier Transform (FFT). Proceedings Geomatika SAR Nasional (GeoSARNas) 2011.

Vanysek, Petr, I. L. Us, & Hilary S. Ricco., (2005). (12) United States Patent.2(12).

Zhang, Y., & Mishra, R.K., (2013). From UNB PanSharp to Fuze Go – The Success Behind the Pansharpening Algorithm. International Journal of Image and Data Fusion, DOI:

1080/19479832.2013.848475

Refbacks

  • There are currently no refbacks.