PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
October 2016
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PHOTOGRAMME TR I C ENG I NE ER I NG & REMOT E SENS I NG
The official journal for imaging and geospatial information science and technology
October 2016 Volume 82 Number 10
y Yun Zhang, Aditya Roshan, Shabnam Jabari,
Sina A. Khiabani, Fatemeh Fathollahi, and Rakesh K. Mishra
Signal-to-noise ratio (SNR), spectral resolution, and spatial resolution
are the three most important elements of remote sensing imagery for
information extraction and information interpretation. However, due
to the physical limitations of optical sensors, it is difficult to acquire
an image that has both a high spatial resolution and a high spectral
resolution without sacrificing its SNR. Therefore, most modern high
(spatial) resolution satellites, such as IKONOS, QuickBird, GeoEye,
WorldView, and Pléiades, simultaneously capture two images—a high
resolution panchromatic (Pan) image and a low resolution multispectral
(MS) image. To combine the high spatial resolution information of the
Pan image with the high spectral resolution information of the MS
image into one image, many pansharpening techniques have been
developed.
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