HighView features


Image pan-sharpening with Landsat 7 ETM+ images


Image Fusion: Landsat ETM+
Credit: Landsat Project, http://landsat7.usgs.gov/

Figure 1: Pan-sharpening with Landsat 7 ETM+ images. Input Landsat ETM+ images were processed at Level 1G and resampled with Cubic Convolution method (WRS-2 path 39, row 37, acquired 3/25/03) .

Left image A high-resolution Landsat ETM+ panchromatic image (spatial resolution 15 m)
Middle image A low-resolution natural colour image made up of Landsat ETM+ blue band (band 1), green band (band 2), and red band (band 3) (spatial resolution 30 m)
Right image A pan-sharpened, high-resolution colour composite from HighView (spatial resolution 15 m)

Notes:

In HighView, users can select any three of the six 30-m resolution multispectral bands of Landsat ETM+ for pan-sharpening and producing image composites in either true or false colours.

Results from HighView band combination and pan-sharpening modules can be used in conjunction with the globle STRM terrain data at a spatial resolution of 30 - or 90-m (available at GLCF's website) to make realistic 3-D scenes for visualisation.

Using HighView, existing 30- or 28.5-m resolution Landsat ETM+ multispectral bands can be readily transformed into 15- or 14.25-m resolution for important global environmental impact studies.



Pan-sharpening for Landsat ETM+ images
Credit: Global Land Cover Facility (GLCF), http://glcf.umiacs.umd.edu/index.shtml

Figure 2: Pan-sharpening with Landsat 7 ETM+ images. Input Landsat ETM+ images were processed at Level 1G and
resampled with Nearest Neighbour method (WRS-2 path 89, row 83, acquired 8/8/02; data were not validated).

Left image
A high-resolution panchromatic image (spatial resolution 14.25 m)
Middle image
A low-resolution natural colour image (spatial resolution 28.5 m)
Right image A pan-sharpened, high-resolution colour composite from HighView (spatial resolution 14.25 m)

Note:

Pan-sharpening results are heavily dependent upon the source and quality of input images. Numerous factors impact the quality of the input image, including pre-processing levels and resampling methods.

In this example, noises or "speckles" in the Pan image are also visible in the fused composite. HighView provides two smoothing methods to reduce the noises, which are embedded in an automated fusion process.