Satellite imageries are provided in both panchromatic and multispectral images. The former have higher spatial resolutions while the latter have relatively lower spatial resolutions but are rich in spectral information. The two types of images have complementary features of spatial and spectral resolutions as such could be fused or merged to produce a better imagery that would be used in land u...

Aim of study: The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inventory surveys is not realistic. Applying pan-sharpening techniques, a higher spatial resolution multispectral image can be generated from lower-...

2 Telephone (781) 981-2920; Fax (781) 981-7271; e-mail [email protected] Abstract In this paper, two examples of sensor fusion are demonstrated. The first is hyperspectral imaging (HSI) with Synthetic Aperture Radar (SAR) and the other is HSI with high-resolution panchromatic imaging (HPI). HSI and SAR fusion exploits different phenomenologies from distinctly different sensors. HSI and HPI fu...

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

This paper introduces a novel approach for evaluating the quality of pansharpened multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are feasible at the highest spatial resolution of the panchromatic (PAN) sensor. Wang and Bovik’s image quality index (QI) provides a statistical similarity measurement between two monochrome images. The QI values between any c...

Hyperspectral (HS) imaging, which consists of acquiring a same scene in several hundreds of contiguous spectral bands (a three dimensional data cube), has opened a new range of relevant applications, such as target detection [MS02], classification [C.-03] and spectral unmixing [BDPD+12]. However, while HS sensors provide abundant spectral information, their spatial resolution is generally more ...

Component substitution (CS) and multiresolution analysis (MRA) based methods have been adopted in hyperspectral pansharpening. The major contribution of this paper is a novel CS-MRA hybrid framework based on intrinsic image decomposition and weighted least squares filter. First, the panchromatic (P) image is sharpened by the Gaussian-Laplacian enhancement algorithm to enhance the spatial detail...

This paper presents a novel fusion approach using PCA merger based on multiscale decomposition (MSD), combined with region segmentation and support vector machine (SVM), the result is a high spatial resolution multispectral image from a high resolution panchromatic (Pan) image and low resolution multispectral (Ms) images. Principal components analysis (PCA) fusion technique is one of typical fu...

Mangrove stands of differing species composition are hard to distinguish in conventional, coarse resolution satellite images. The new generation of meter-level satellite imagery provides a unique opportunity to achieve this goal. In this study, an IKONOS Geo bundle image and a QuickBird Standard bundle image were acquired for a study area located at Punta Galeta on the Caribbean coast of Panama...

Along with the progress of each basic theories in the picture science, the numerical picture processing technique gets the extensive application in each section of national economy, moreover, it has become study hotspot that is automatic identify in panchromatic aerial image. A kind of MF method to extract airport in aerial image was put forward on analysing template match and characteristic ex...