A useful technique in various applications of remote sensing involves the fusion of panchromatic and multispectral images. Wavelet-based approaches to image fusion generally produce high-quality spectral content in fused images. However, the spatial resolution obtained by most wavelet-based methods is less than that obtained by the intensity-hue-saturation (IHS) method. Recent studies show that...

The freshwater flux from icebergs into the Southern Ocean plays an important role in global climate through its impact on deep-water formation. Large uncertainties exist ice volume transported by due to sparse spatial and temporal coverage of observations, especially observations thickness. iceberg freeboard is a critical geometric parameter for measuring thickness then estimating volume. This ...

In this paper, proposes an efficient method for change detection in forest areas using panchromatic stereo imagery and Multispectral imagery using kernel minimum noise fraction analysis. Due to low spectral information it is difficult to extract the change features, since changes mostly occur together with other unrelated changes such as environmental changes and seasonal changes. Hence the ker...

In this paper we propose a supervised learning system for counting and localizing palm trees in high-resolution, panchromatic satellite imagery (40cm/pixel to 1.5m/pixel). A convolutional neural network classifier trained on a set of palm and no-palm images is applied across a satellite image scene in a sliding window fashion. The resultant confidence map is smoothed with a uniform filter. A no...

Pansharpening technique is used for fusion of low spatial resolution multispectral image and high spatial resolution panchromatic image, to increase the spatial resolution of multispectral image. Intensity-Hue-Saturation pan sharpening method has been used for most of the practical pansharpening applications but it offers some spectral distortion. Therefore, it has been used in integration with...

Pixel based image fusion entails combining geometric details of a high-resolution Panchromatic (PAN) image and spectral information of a low-resolution Multispectral (MS) image to produce images with highest spatial content while preserving the spectral information. This work reviews and implements six fusion techniques – À Trous algorithm based wavelet transform (ATW), Mulitresolution Analysis...

This article proposes a ∆−1− TV0 energy function to fuse a multi-spectral image with a panchromatic image. The proposed energy function consists of two components, a TV0 component and a ∆−1 component. The TV0 term uses the sparse priority to increase the detailed spatial information; while the ∆−1 term removes the block effect of the multi-spectral image. Furthermore, as the proposed energy fun...

The study aims to investigate the use of panchromatic (PAN) satellite image data for flood hazard assessment with an aid of various digital image processing techniques. Two SPOT PAN satellite images covering part of the Nile River in Egypt were used to delineate the flood extent during the years 1997 and 1998 (before and after a high flood). Three classification techniques, including the contex...

For scaling up low resolution multispectral images (LRMIs) with high resolution panchromatic image (HRPI), intensity-hue-saturation (IHS) can produce satisfactory spatial enhancement but usually introduces spectral distortion in the fused high resolution multispectral images (HRMIs). In this paper, to minimize this problem, we present a generalized intensity modulation (GIM) by extending the IH...