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SPOT and Pléiades images acquired since 2002 are used to describe velocity and elevation changes on Astrolabe Glacier, East Antarctica. Multi-temporal pairs of images are used to generate velocity fields by automatically tracking surfaces features. Stereo-pairs are used to create DEMs. Using three DEMs (2003, 2007 and 2013), we describe a surprising surface elevation increase since 2002, that reached...
Panchromatic Remote-sensing Instrument for Stereo Mapping, one of onboard sensors carried by Advanced Land Observing Satellite, was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation along its track, and collected its derived images all over the world during the mission life of the satellite...
The effectiveness of very high-resolution IKONOS multispectral satellite imagery for land cover/vegetation mapping in Pico da Vara Nature Reserve (S. Miguel Island, Archipelago of the Azores, Portugal) was assessed. A per-pixel supervised classification scheme was developed using two different datasets. The Dataset A included the IKONOS-2 ortho-rectified and atmospherically corrected Visible and Near...
Currently the UAV photographic data is unstable, turbulent and inaccurate, and these flaws make image stitching difficult. This paper proposed an innovative fast method based on global subdivision GeoSOT grid frame. And this method can apply to the high-speed image stitching of a certain area at different times on the UAV. The experiment result shows the advantages of the new method over the traditional...
Very High Resolution (VHR) multitemporal images show a residual misalignment even after applying effective state of the art co-registration. This residual misalignment is caused by the dissimilarities of the acquisition circumstances such as off-nadir angle of the sensor, stability of the acquisition platform, structure of the considered scene, and so on. This paper aims at mitigating the residual...
We investigate the performance evaluation of merging (fusing) the classification capabilities of classifiers for the land use analysis. For the fusion approach, we select the parametric and non-parametric classifiers. The set used includes: Bayesian Network, Multi-layer Perceptron (MLP), Support Vector Machines (SVM) and Random Forest. These classifiers are selected based on their good over-all performance...
Improvement of character recognition technology brings us various character recognition applications for mobile camera. However, many low-resolution and poor-quality character images exist due to the performance of the camera or the influence of environment, and existing methods are not good at recognizing those low-resolution characters. Therefore, we develop a character recognition system for ultra-low...
Hand posture recognition is an extremely active research topic in Computer Vision and Robotics, with many applications ranging from automatic sign language recognition to human-system interaction. Recently, a new descriptor for object representation based on the kernel method (KDES) has been proposed. While this descriptor has been shown to be efficient for hand posture representation, across-the-board...
This study is to classify satellite data based on traditional swarm intelligence technique. Attempts to classify remote sensed data with traditional statistical classification technique faced number of challenges as the traditional per-pixel classifier examine only the spectral variance ignoring the spatial distribution of the pixels, corresponding to the land cover classes and correlation between...
We consider a signal reconstruction problem for signals F of the form F(x) = Σdj=1 ajδ(x−xj) from their Fourier transform F(F)(s) = ∫∞−∞ F(x)e−isxdx. We assume F(F)(s) to be known for each s ε [−Ν,Ν] with an absolute error not exceeding ε > 0. We give an absolute lower bound (which is valid with any reconstruction method) for the “worst case” reconstruction error of F from F(F) for situations where...
This paper presents a novel method that can estimate the distance of a person up to 6 meters away. The proposed approach is based on face images extracted from a video of a monocular camera through the use of the Viola-Jones approach of OpenCV to detect the faces. The results of the experiments show the practicality of this approach in calculating the distances of the subjects in the camera's view.
In this paper, we propose a blur invariant image registration method that can be used to register rotated, scaled and shifted images. The method is invariant to centrally symmetric blur including linear motion and out of focus blur. The method correlates log-polar sampled phase-only bispectrum slices, which are modified for blur invariance, to estimate rotation and scale parameters. Translation parameters...
This paper introduces a projection-based method for registration of radiological images. The proposed method estimates the scale, translation and rotation parameters which define the global affine motion of an image with respect to a reference image. Using these estimated parameters, radiological images can be properly re-aligned to help diagnosis. The proposed method tries to match the horizontal...
To optimize a sensor (and a mission), the existing knowledge about the scientific problem and about the available technology should be used. That is the objective of the optimization concept used here. The optimization concept is based on an error function which compares assumed values with the estimated values of the parameters provided by the experiment. The error on the consideration is a function...
In this paper, an approach to improve the spatial resolution of color video is presented. Such high resolution images are desired, for example, in video printing. Previous work has shown that the most important step in achieving high quality results is the accuracy of the motion field. It is well known that motion estimation is an ill-posed problem. However, in processing color video, additional information...
Automatic cell tracking for time-lapse images becomes more and more important for live cell studies because the manual tracking is extremely time consuming. In this paper, we proposed a method for C.elegans cell tracking based on probabilistic relaxation labeling (PRL). The experiment results obtained in this research indicate that our method could track the C.elegans cells with a high accuracy at...
The successful and widespread deployment of biometric systems brings on a new challenge: the spoofing, which involves presenting an artificial or fake biometric trait to the biometric systems so that unauthorized users can gain access to places and/or information. We propose a fingerprint spoof detection method that uses a combination of information available from pores, statistical features and fingerprint...
In this paper, a simple and effective approach for the recognition of hand gestures from very low resolution images is proposed. Enhancement of the low resolution images has always been the key focus in the processing of the digital images. Images with resolution as low as [50×50 pixels] are also considered for recognition. The gestures under consideration here are the number of fingers (one, two,...
In this study, the unsupervised detection of urban changes, based on high-spatial resolution SAR imagery, is approached using the object-oriented paradigm. Multidate images segmentation strategy was adopted to avoid the creation of sliver polygon. Following segmentation, a change image was generated by comparing objects' mean intensities using a modified version of the traditional ratio operator....
The rapid expansion of human activities in time and space is tangible in different parts of the world. Urban sprawl is one of the phenomena that need to be controlled in order to ensure a sustainable development of communities. Satellite remote sensing provides a repository of Earth observations - and thus information on surface changes - since the early seventies. This research proposes a hybrid...
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