Spectral Reconstruction of the Pixels in a Satellite Image through Mixing Process

سال انتشار: 1390
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,200

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

SASTECH05_066

تاریخ نمایه سازی: 22 مرداد 1391

چکیده مقاله:

This research introduces a technique based on the spectral mixing i.e. something opposite to the well known unmixing technique. This is done by rearrangement and reconstruction of the pixels surface materials in order to make it spectrally look like some predefined pixels. The method is called Pixel MAKeup (PMAK). This means that it is tried to find a way to select materials where when spreading them out on the pixel surface, the resultant spectral reflectance of the pixel gets similar to some predefined surface covers. The PMAK method was run for two subsets of one LISS-III P6 image in three bands where one of them is taken as the primary (the one that is intended to be reconstructed) and the other one is the secondary (the one that the reconstructed primary subset should be looked like). The RMSE between the secondary and PMAK output was found to be 0.0061, 0.0057 and 0.0035 for bands 2, 3 and 4 respectively. The number of materials used for this pixel reconstruction were as little as 3. Of course if we increase the number of bands, then the number of these materials may increase substantially. However the simple concepts of the PMAK method would make it applicable for any sensor with any number of bands.

کلیدواژه ها:

نویسندگان

Majid Rahimzadegan

PPhd Student, Remote Sensing Eng. Dept., KN Toosi University of Technology

M. Reza MobasheriP

PAssociated Professor, Remote Sensing Eng. Dept., KN Toosi University of Technology

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Bioucas-Dias, J. M. & Nascimento, J.M.P. (2008). Hyperspectral Subspace Identification ...
  • Conghe, S. (2005). Spectral mixture analysis for subpixel vegetation fractions ...
  • Neville, R.A., Levesque, J., Staenz, K., Nadeau, C., Hauff, P., ...
  • Rosin, P.L. (2001). Robust Pixel Unmixing. IEEE Transactions On Geoscience ...
  • نمایش کامل مراجع