In order to acquire a high resolution multispectral (HRMS) image with the same spectral as (MS) and spatial panchromatic (PAN) image, pansharpening, typical hot fusion topic, has been well researched. Various pansharpening methods that are based on convolutional neural networks (CNN) different architectures have introduced by prior works. However, scale information of source images is not consi...

Pansharpening aims to obtain high spatial resolution multispectral (MS) images by fusing the and spectral information in low (LR) MS panchromatic (PAN) images. Recently, deep neural network (DNN) based pansharpening methods have been advanced extensively. Although most DNN-based show good performance, it is difficult for them preserve details fused image. In this article, we propose a new metho...

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 ...

The Geoeye-1 satellite, launched in September 2008, is able to acquire imagery in panchromatic mode, with a spatial resolution of 0.41 m at nadir, offering the most powerful way to obtain detailed imagery actually commercially available. The aim of the work is to evaluate the quality of the GeoEye-1 products through radiometric and geometric analysis; the area test is the city of Rome. Radiomet...

This paper discusses the potentials of very high-resolution (VHR) stereo imagery for automatic generation of digital surface models (DSM) and 3D information extraction on large metropolitan cities. Stereo images acquired by GeoEye-1 on Dakar (Senegal) and Guatemala City (Guatemala) and by WorldView-2 on Panama City (Panama), Constitucion (Chile), Kabul (Afghanistan), Teheran (Iran), Kathmandu (...

Detection of urban objects in very high resolution (VHR) satellite imagery is challenging due to the similarities in the spectral and textural characteristics of urban land cover classes. Therefore, additional information such as elevation data is required for a proper classification. In this study, instead of LiDAR data, elevation information generated from satellite stereo images is used to a...

Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...

objective: when none of digital systems and scanners is accessible and it is essential to have digitized images of conventional radiographs, digital cameras can be used. the aim of this study was to investigate whether digital images obtained by different resolutions of a digital camera are matched to the original radiographs in evaluation of caries. methods: in this diagnostic accuracy in vitr...