Abstract
Abstract. The Tiangong-II space lab was launched at the Jiuquan Satellite Launch Center of China on September 15, 2016. The Wide Band Spectral Imager (WBSI) onboard the Tiangong-II has 14 visible and near-infrared (VNIR) spectral bands covering the range from 403–990 nm and two shortwave infrared (SWIR) bands covering the range from 1230–1250 nm and 1628–1652 nm respectively. In this paper the selected bands are proposed which aims at considering the closest spectral similarities between the VNIR with 100 m spatial resolution and SWIR bands with 200 m spatial resolution. The evaluation of Gram-Schmidt transform (GS) sharpening techniques embedded in ENVI software is presented based on four types of the different low resolution pan band. The experimental results indicated that the VNIR band with higher CC value with the raw SWIR Band was selected, more texture information was injected the corresponding sharpened SWIR band image, and at that time another sharpened SWIR band image preserve the similar spectral and texture characteristics to the raw SWIR band image.
Highlights
The Wide Band Spectral Imager (WBSI) onboard the TiangongII space lab was launched at the Jiuquan Satellite Launch Center of China on September 15, 2016 which has 14 visible and nearinfrared (VNIR) spectral bands covering the range from 403990 nm at a spatial resolution of 100 m and two shortwave infrared (SWIR) bands with 200 m spatial resolution covering the range from 1230-1250 nm and 1628-1652 nm respectively
Except the images are resized by the nearest neighbour or cubic convolution interpolation methods so that all VNIR and SWIR bands have the same size of pixels (Wahi et al, 2013; Pour and Hashim, 2013), sharpening should be used to combine the low resolution SWIR image with the high resolution VNIR image to produce a spatial resolution of 100 m image including 14 VNIR bands and two SWIR bands
The CC was applied to determine the selected bands from the set of VNIR bands which had the high correlations with each SWIR bands
Summary
The Wide Band Spectral Imager (WBSI) onboard the TiangongII space lab was launched at the Jiuquan Satellite Launch Center of China on September 15, 2016 which has 14 visible and nearinfrared (VNIR) spectral bands covering the range from 403990 nm at a spatial resolution of 100 m and two shortwave infrared (SWIR) bands with 200 m spatial resolution covering the range from 1230-1250 nm and 1628-1652 nm respectively. The WBSI images the Earth’s surface in 300-killometer-wide swath which supports a wide range of applications such areas as plant, agriculture, forestry, geology, geography, ocean, water resource, natural hazard, and coastal researches. The SWIR bands are out of the visible light range. It is often hopeful to have a high spectral resolution and spatial information combined in the same file (Padwick et al, 2010). The integration of the WBSI imagery of Tiangong-II is difficult because the VNIR and SWIR bands have the different spatial resolutions. Except the images are resized by the nearest neighbour or cubic convolution interpolation methods so that all VNIR and SWIR bands have the same size of pixels (Wahi et al, 2013; Pour and Hashim, 2013), sharpening should be used to combine the low resolution SWIR image with the high resolution VNIR image to produce a spatial resolution of 100 m image including 14 VNIR bands and two SWIR bands
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