Automatic road detection from high resolution satellite images has been an active research topic in the past decades. Different solutions are proposed to detect road object such as: fusion-based, fuzzy-based, mathematical morphology, model-based approach, dynamic programming and multi-scale grouping. In this paper, a new fuzzy segmentation method is proposed which is optimized by particle swarm...

A useful technique in various applications of remote sensing involves the fusion of panchromatic and multispectral images. Wavelet-based approaches to image fusion generally produce high-quality spectral content in fused images. However, the spatial resolution obtained by most wavelet-based methods is less than that obtained by the intensity-hue-saturation (IHS) method. Recent studies show that...

Traditional pixel-based image classification approaches have some limitations with the use of very high spatial resolution imagery. In recent years, object-based image analysis (OBIA) approaches has emerged with an attempt to overcome those limitations inherited to the conventional pixel-based approaches. When using OBIA approach, it is known that the quality of segmentation directly affect cla...

The satellite image with high resolution has been commercially available since early 21st century, and the generation of digital elevation model and Ortho-image with lower costs and shorter period from these high-resolution images has become practical. But at first one must calculate the parameters of these high-resolution images. Recently, A new strict geometric model, based on affine transfor...

Pansharpening fuses spectral information from the multi-spectral image and spatial panchromatic image, generating super-resolution images with high resolution. In this paper, we proposed a novel 3D multi-scale attention convolutional network (MSAC-Net) based on typical U-Net framework for imagery pansharpening. MSAC-Net is designed via convolution, mechanism replaces skip connection between con...

The availability of very high spatial resolution images in remote sensing brings the texture segmentation of images to a higher level of complexity. Such images have so many details that the classical segmentation algorithms fail to achieve good results. In the case of IKONOS images of forest areas, a texture can be so different within a same class that it becomes very difficult even for a huma...

This paper presents an automatic system for generating multi-scale colour 3D satellite images and dynamic visualization of 3D images through the Internet. Medium-resolution satellite images such as Landsat 7 and high-resolution satellite images such as Ikonos or QuickBird are the data sources for the multi-scale 3D images. New image fusion, colour enhancement and stereoscopy algorithms are deve...

The correct georeferencing of remote sensing imagery is a fundamental task in the photogrammetric processing for orthoimages, DEM/DSM generation and 3D features extraction. In this paper we focus on the georeferencing of pushbroom sensors imagery with rigorous model, that is the well known approach based on the collinearity equations. In particular, we developed, implemented and tested a rigoro...

High resolution space images are becoming more and more important as their resolution and availability improve. Images having a ground pixel size of 0.6 m or 1.0 m are competing with classical aerial photos. The space images cover large areas, reducing the number of control points needed. If rational polynomial coefficients (RPC) are available, the number of control points can be reduced even f...

In this paper two methods, an area based matching and a so called dynamic line warping, for generating digital surface models (DSMs) from IKONOS image pairs are compared and their limitations and usability for the rapid generation of good DSMs are discussed. The new dynamic line warping method is based on techniques used in speech recognition for warping corresponding epipolar lines of the ster...