NDLI: Improving the Spatial Resolution of Remotely-Sensed Images by Means of Sensor Fusion: A General Solution Using the ARSIS Method

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Improving the Spatial Resolution of Remotely-Sensed Images by Means of Sensor Fusion: A General Solution Using the ARSIS Method

Content Provider	Scilit
Author	Donnay, Jean-Paul Barnsley, Mike J. Longley, Paul A.
Copyright Year	2000
Description	A wide range of Earth observation satellites appropriate to monitoring urban areas now exists. Each produces data at a different spatial resolution and in different spectral wavebands (see Donnay et al., Chapter 1, this volume). For example, the familiar Thematic Mapper sensors on board the Landsat-serie of satellites generate data at a spatial resolution of 30m in six spectral wavebands spanning visible blue to shortwave-infrared wavelengths, and at 120m in a further spectral waveband located in the thermal infrared . The HRV (High Resolution Visible) sensors on board the SPOT-series of satellites, on the other hand, provide a single-channel panchromatic (P) image at 10m resolution and three multispectral images (XS 1, XS2 and XS3) at 20m re olution . Likewise, the Indian Remote Sensing satellite, IRS-1C, generates a panchromatic image at 5.8m, three multispectral images at 23.5m, a short-wave infrared image at 70.5m (LISS-3 instrument), and two further images at 188m (WiFS instrument). Book Name: Remote Sensing and Urban Analysis
Related Links	https://content.taylorfrancis.com/books/download?dac=C2004-0-30928-9&isbn=9780429179563&doi=10.1201/9781482268119-12&format=pdf
Ending Page	66
Page Count	18
Starting Page	49
DOI	10.1201/9781482268119-12
Language	English
Publisher	Informa UK Limited
Publisher Date	2000-12-21
Access Restriction	Open
Subject Keyword	Book Name: Remote Sensing and Urban Analysis Imaging Science Remote Sensing Sensors Resolution Multispectral Panchromatic Image Instrument Visible Board Wavebands Sensed
Content Type	Text
Resource Type	Chapter

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