Remote sensing image fusion (or pan-sharpening) aims at generating high resolution multi-spectral (MS) image from inputs of a high spatial resolution single band panchromatic (PAN) image and a low spatial resolution multi-spectral image. In this paper, a deep convolutional neural network with two-stream inputs respectively for PAN and MS images is proposed for remote sensing image pan-sharpenin...

Quantitative methods to assess or predict the quality of a spectral image continue to be the subject of a number of current research activities. An accepted methodology would be highly desirable for use in data collection tasking or data archive searching in ways analogous to the current prediction of panchromatic image quality through the National Imagery Interpretation Rating Scale (NIIRS) us...

The suitability of optical IKONOS satellite data (multispectral and panchromatic) for the estimation of forest structural attributes – for example, stems per hectare (SPHA), diameter at breast height (DBH), mean tree height (MTH), basal area (BA) and volume in plantation forest environments – was assessed in this study. The relationships of these forest structural attributes to statistical imag...

A two-step approach to enhance the resolution of remote sensing thermal infrared (TIR) images is proposed in this paper. For difference in imaging principles between TIR image and optical images, traditional image fusion techniques, such as component substation and MRA methods will not be proper. In our study, we use Extreme Learning Machine (ELM) to regress the relationship between TIR image a...

Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...

Remote sensing image fusion can effectively improve the accuracy of image classification. This paper proposes an image fusion algorithm based on extensions of independent component analysis (ICA) and multi-classifier system. Firstly a novel method of fusing panchromatic and multi-spectral remote sensing images is developed by contourlet transform which can offer a much richer set of directions ...

Intensity-Hue-Saturation (IHS), Brovey Transform (BT), and Smoothing-FilterBased-Intensity Modulation (SFIM) algorithms were used to pansharpen GeoEye-1 imagery. The pansharpened images were then segmented in Berkeley Image Seg using a wide range of segmentation parameters, and the spatial and spectral accuracy of image segments was measured. We found that pansharpening algorithms that preserve...

Let D = (V,A) be a simple digraph, and let π(D), the panchromatic number of D, be the maximum number of colours k such that for each colouring of its arcs ς : A → [k] a kernel by monochromatic paths N ⊂ V , as introduced in [6], exists. It is not hard to see that D has a kernel —in the sense of Von Neumann [11]— if and only if π(D) = |A|. In this note this invariant is introduced and some of it...

The aim of this contribute is to examine an application of Object Oriented Image Analysis on very high resolution data, on Ikonos images multispectral and panchromatic – of Bagnara Calabra, in the province of Reggio Calabria. Our objectives are to show as an automatic analysis as we implemented in a unitary package for segmentation and classification Neuro Fuzzy – with a minimal manual particip...