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Non-Subsampled Contourlet Transform ( NSCT ) Based Pan-Sharpening Method for Remote Sensing Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Inani, Anshul |
| Copyright Year | 2016 |
| Abstract | — In this paper we present nsct for remote sensing images. The nsct (non-subsampled contourlet transform) is a fully shift -invariant, multiscale, and multidirectional expansion that has a fast implementation. On nsct two methods are based for pansharpening. In this paper different decomposition levels are used for both multispectral (ms) image and pan image which in order helps us to inherit spectral and spatial qualities of image and also reduces computation time. Only after nsct upsampling can be performed for ms images. Upsampling is essential since it enables us to preserve initial features, structure and information of ms images so they remain differentiable. Thus, at the same fine level this property is used for integration of pan image with ms image for pan-sharpening. Spectral and spatial image resolution have achieved better results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://technoarete.org/common_abstract/pdf/ijerece/v2/i11/3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
