This paper describes the geometric accuracy testing of the IRS-1D and SPOT-4 images when combining together as stereo, over a test field in Zanjan province in the west part of Iran. For reconstruction of the image orientation we have used two different models: (i) a rigorous bundle adjustment program using an orbital parameters model and (ii) a generalized sensor model as rational function mode...

Catadioptric Omni-Directional Stereo Vision (ODSV) technology is the combination of omni-directional imaging and stereo vision, which has wide application potentials on robot vision and large-scale video surveillance [1-4]. Fig.1 gives the framework of ODSV technology, which includes four major parts: the design of omni-directional stereo vision imaging system, unwarping of omni-directional ste...

Image matching and finding correspondence between a stereo image pair is an essential task in digital photogrammetry computer vision. Stereo images represent the same scene from two different perspectives, therefore they typically contain high degree of redundancy. This paper includes evaluation implementing manual as well auto-match that acquired with overlapped area. Particular target points ...

Stereo algorithm is important for robotics applications, such as quadcopter and autonomous driving. It needs to be robust enough to handle images of challenging conditions, such as raining or strong lighting. Textureless and specular regions of these images make feature matching difficult and smoothness assumption invalid. It is important to understand whether an algorithm is robust to these ha...

In this text, we present two stereo-based head tracking techniques along with a fast 3D model acquisition system. The first tracking technique is a robust implementation of stereo-based head tracking designed for interactive environments with uncontrolled lighting. We integrate fast face detection and drift reduction algorithms with a gradient-based stereo rigid motion tracking technique. Our s...

High resolution space-borne remote sensing image data show a high level of detail and provide many opportunities to be integrated into remote sensing applications. In particular, surface mapping from multi-view and stereo data sets becomes feasible with height accuracy in the meter range. Cartosat-1 and Cartosat-2 are the two Indian satellites which provide the high resolution images. Cartosat-...

In this paper we describe a new method for creating three-dimensional images using pairs of synthetic aperture radar (SAR) images obtained from a unique collection geometry. This collection mode involves synthetic apertures that have a common centei: In this sense the illumination directions for the two SAR images are the same, while the slant planes are at different spatial orientations. The s...

Since the successful launch of DigitalGlobe’s QuickBird satellite and the availability of the data, QuickBird Imagery has quickly become the best choice for large scale mapping using high-resolution satellite images. First, the satellite has panchromatic and multispectral sensors with resolutions of 61-72cm (2-2.4ft) and 2.44-2.88m (8-9.4ft) respectively, depending upon the off-nadir viewing an...

digital elevation model (dem) is increasingly used these days as an effective tool to extract elevation data in quantitative environmental and land management studies. the improvement of sensors and land resource satellites has made it possible to generate dem from remotely sensed data. dems which are produced from these data are applied not only in the two dimensional (2d) but also in the thre...