Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images

Li, Shutao; Kwok, James T.; Wang, Yaonan

doi:10.1016/s1566-2535(01)00037-9

Cited by 293 publications

(128 citation statements)

References 11 publications

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“…Only the spatial details are incorporated into the LR image using the related reconstruction method. Merging zero-mean wavelet coefficients also avoids the bias in the radiometry of the original image, which occurs when using substitution techniques [12]. Multiresolution methods are suitable for dealing with band-to-band fusion since they extract from the image only the spatial details that exist at different scales.…”

Section: A Image Fusion 1) Principle and Methodsmentioning

confidence: 99%

Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept

Sirguey

Mathieu

Arnaud

et al. 2008

IEEE Geosci. Remote Sensing Lett.

103

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Abstract-We propose to fuse the high spatial content of two 250-m spectral bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) into its five 500-m bands using wavelet-based multiresolution analysis. Our objective was to test the effectiveness of this technique to increase the accuracy of snow mapping in mountainous environments. To assess the performance of this approach, we took advantage of the simultaneity between the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and MODIS sensors. With a 15-m spatial resolution, the ASTER sensor provided reference snow maps, which were then compared to MODIS-derived snow maps. The benefit of the method was assessed through the investigation of various metrics, which showed an improvement from 3% to 20%. Therefore, the enhanced snow map is of great benefit for environmental and hydrological applications in steep terrain.

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Section: A Image Fusion 1) Principle and Methodsmentioning

confidence: 99%

Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept

Sirguey

Mathieu

Arnaud

et al. 2008

IEEE Geosci. Remote Sensing Lett.

103

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“…To achieve more efficient results, the medical image fusion is shifted towards the transform domain through the accomplishment of MST, including the discrete wavelet transform (DWT) [3,7,37], framelet transform [16], contourlet transform [17], and non-sub sampled contourlet transform (NSCT) [1,4,6]. By focusing on the properties of wavelet filters, some extended wavelet based image fusion approaches are proposed based on Wavelet Packet Transform (WPT) [18] and Wavelet Frame Transform (WFT) [19]. Wavelet transform suffers from lack of shift invariance & poor directionality and Stationary Wavelet Transform and Wavelet Packet Transform overcome these disadvantages.…”

Section: Literature Surveymentioning

confidence: 99%

An Adaptive Sub Band Filtering Based Medical Image Fusion Through Non-subsampled Contourlet Transform

Harijana¹,

Gandluru²,

Nanjappa³

2018

IJIES

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Abstract:Medical image fusion is a powerful tool in the medical oriented applications such as diagnosis, treatment planning and image-guided radiotherapy. In this paper, a new medical image fusion approach is proposed based on Non-Subsampled Contourlet Transform (NSCT) and Adaptive sub band filtering. Though there are so many approaches proposed in earlier to find a more and clear fused image, they didn't focus on the computational complexity. Since the computational complexity directly related to the feature count, the rise in the level number of sub band images rises the computational complexity. The adaptive sub band filtering mechanism retrieves the informative sub band images only form all the obtained high frequency sub band images. Further to improve the fusion performance, the proposed approach fuses the low frequency subband images based on phase congruency rule and the high frequency subband images based on Log-Gabor energy rule. Visually and quantitatively experimental results indicate that the proposed fusion method can obtain more effective and accurate fusion results of medical images than other algorithms.

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“…All the above techniques employed in our previous studies [19][20][21]. Therefore, the best method for each group selected in this study as the fallowing: (HFA), (HFM) [20], (RVS) [21] and the IHS method by [22].…”

Section: Image Fusion Techniquesmentioning

confidence: 99%

Novel Metric Approach Evaluation for the Spatial Enhancement of Pan-Sharpened Images

Al-Wassai¹,

Kalyankar²

2012

Computer Science &Amp; Information Technology (CS &Amp; IT)

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Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images

Cited by 293 publications

References 11 publications

Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept

Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept

An Adaptive Sub Band Filtering Based Medical Image Fusion Through Non-subsampled Contourlet Transform

Novel Metric Approach Evaluation for the Spatial Enhancement of Pan-Sharpened Images

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