While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, numerous image fusion techniques have been developed. However, some undesirable effects such as modified spectral signatures and resolution overinjection are produced. In this paper, a novel spectra...

To obtain an accurate count of wheat spikes, which is crucial for estimating yield, this paper proposes a new algorithm that uses computer vision to achieve this goal from an image. First, a home-built semi-autonomous multi-sensor field-based phenotype platform (FPP) is used to obtain orthographic images of wheat plots at the filling stage. The data acquisition system of the FPP provides high-d...

The remote sensing images fusing is a method, which integrates multiform image data sets into a new data set by geometry matching, color transformation and other ways. During mapping the LiJiang county in YunNan province with high-resolution remote sensing image, we found that it is a good way to utilize the technique of image fusing, which includes image matching, image interpolation, edge enh...

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

Data fusion is a formal framework in which is expressed means and tools for the alliance of data originating from different sources. It aims at obtaining information of greater quality; the exact definition of ‘greater quality’ will depend upon the application. Satellites remote sensing image fusion has been a hot research topic of remote sensing image processing. Make Multispectral images matc...

Spatial, Temporal, and Spectral Resolution (STSR) are three key characteristics of Earth observation satellite sensors; however, any single satellite sensor cannot provide Earth observations with high STSR simultaneously because of the hardware technology limitations of satellite sensors. On the other hand, a conflicting circumstance is that the demand for high STSR has been growing with the re...

Keywords: Fractal dimension Fusion image Wavelet transform Texture Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e. artifacts, in the resulting fused images. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or textural characteristics between different land covers. They only consider th...

The fusion of the panchromatic (PAN) image with multispectral (MS) images is a very useful tool for remote sensing applications that require both high-spatial and high-spectral resolution. A hybrid fusion method, which comprises of the standard intensity-huesaturation (IHS) transform and a wavelet transform, was recently introduced in the literature. The hybrid fusion method was able to elimina...

This paper presents a novel image fusion method, suitable for sharpening of multispectral (MS) images by means of a panchromatic (Pan) observation, based on a modified generalized intensity-hue-saturation algorithm: the MS bands expanded to the finer scale of the Pan image are sharpened by adding the spatial details derived from a difference image, which is calculated by the Pan image and a lin...