Multispectral image reconstruction allows to combine a multispectral low resolution image with a panchromatic high resolution one to obtain a new multispectral image with the spectral properties of the lower resolution image and the level of detail of the higher resolution one. In this paper we formulate the problem of multispectral image reconstruction based on super-resolution techniques and ...

In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experim...

Image fusion of multispectral and panchromatic satellite image is used to combine spatial detail of the panchromatic image of high spatial resolution and spectral information of multispectral image of low resolution, in order to create a synthetic multispectral high-resolution image. This process is called pansharpening and the resulting image, has among others, improved visual quality and visu...

In order to fuse two registered high spatial resolution panchromatic image and low spatial resolution multispectral image of the same scene, we proposed a new color transfer based fusion algorithm by using the non-separable wavelet frame transform (NWFT). Three bands are selected from the source multispectral image as the channels to be fused. A grayscale image is obtained by averaging these th...

Multispectral imaging is highly demanded for precise color reproduction and for various computer vision applications. Multispectral imaging with a multispectral color filter array (MCFA), which can be considered as a multispectral extension of commonly used consumer RGB cameras, could be a simple, low-cost, and practical system. A challenge of the multispectral imaging with the MCFA is multispe...

In this paper, a multi-scale image fusion method based on discrete wavelet frame (DWF) is proposed for merging a high-resolution panchromatic image and a low-resolution multispectral image. The downampling process is avoided by using discrete wavelet frame decomposition. It leads to translation invariant and is available for the image fusion. The lowfrequency part of the panchromatic image is d...

Hyperspectral image enhancement has been a concern for the remote sensing society for detailed end member detection. Hyperspectral remote sensor collects images in hundreds of narrow, continuous spectral channels, whereas multispectral remote sensor collects images in relatively broader wavelength bands. However, the spatial resolution of the hyperspectral sensor image is comparatively lower th...

The problem of scarcity of multi image supporting for satellite image is handled with the help of multispectral sensing image method. In that the SVM-2 (Support Vector Machine – 2) is consider for classifying the different types of land covering area. The workflow of multispectral acquired with an absurd image into orthorectified image, in that we identified several challenges including file fo...

Semantic segmentation is a machine learning task that seeing increased utilization in multiple fields, from medical imagery to land demarcation and autonomous vehicles. A real-time system must be lightweight while maintaining reasonable accuracy. This research focuses on leveraging the fusion of long-wave infrared (LWIR) with visual spectrum fill inherent performance gaps when using alone. appr...