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Satellite images are necessary in geographical information, medical, geosciences studies and defense monitoring. But the resolution is the drawback of satellite images. Their resolution is modified due to the height of the satellites orbits and instrument used. Image resolution enhancement methods are used to resolve the drawback of satellite images. Resolution enhancement is the essential application...
Presently, there is a need to explore the possibility to maximize the use of MODIS (Moderate Resolution Imaging Spectroradiometer) data as it has very good spectral (36 bands) and temporal resolution whereas its spatial resolution is moderate i.e. 250m, 500m, and 1km. Because of its moderate spatial resolution, its application for land cover classification is limited. Therefore, in this paper, an...
Satellite images play a major role in the analysis of land cover, topographic analysis, geosciences etc. There has always existed a tradeoff between the image resolution and the image cost. In this paper, a modified discrete wavelet transform and interpolation based technique is proposed for enhancing the resolution of satellite images having low resolution in such a way that a highly resolved satellite...
Development of new satellite imagery processing algorithms for resolution enhancement and subpixel analysis allows to increase efficiency of remote sensing applications. Insufficiency of the spatial resolution leads to uncertainty in satellite imagery classification and analysis. In this paper we present the technique for satellite imagery spatial resolution enhancement based on subpixel multiple...
Image resolution enhancement is a usable process for many image processing applications such as geoscience studies, astronomy and geographical information systems. One of the traditional methods used to increase the image resolution is image interpolation but the potential problem associated with it is to magnify the image many times without loss in image clarity. However, all the classical linear...
In this letter, a satellite image resolution enhancement technique based on interpolation of the high-frequency subband images obtained by dual-tree complex wavelet transform (DT-CWT) is proposed. DT-CWT is used to decompose an input low-resolution satellite image into different subbands. Then, the high-frequency subband images and the input image are interpolated, followed by combining all these...
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