Deformation monitoring by multi-baseline repeat-pass synthetic aperture radar (SAR) interferometry is so far the only imaging-based method to assess millimeter-level deformation over large areas from space. Past research mostly focused on the optimal deformation parameters retrieval on a pixel-basis. Only until recently, the first demonstration of object-based urban infrastructures monitoring b...

PURPOSE Visual prostheses offer a possibility of restoring useful reading ability to the blind. The psychophysics of simulating reading with a prosthesis using pixelized text has attracted attention recently. This study was an examination of the reading accuracy and efficiency of pixelized Chinese paragraphs after different parameters were altered. METHODS Forty native Chinese speakers with n...

The continual improvement of object recognition systems has resulted in an increased demand for their application to problems which require an exact pixel-level object segmentation. In this paper, we illustrate an example of an object class recognition and segmentation system which is trained using weakly supervised training data, with the goal of examining the influence that different model ch...

This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, w...

We consider the problem of learning deep neural networks (DNNs) for object category segmentation, where the goal is to label each pixel in an image as being part of a given object (foreground) or not (background). Deep neural networks are usually trained with simple loss functions (e.g., softmax loss). These loss functions are appropriate for standard classification problems where the performan...

Accurate knowledge of translation positions is essential in ptychography to achieve a good image quality and the diffraction limited resolution. We propose a method to retrieve and correct position errors during the image reconstruction iterations. Sub-pixel position accuracy after refinement is shown to be achievable within several tens of iterations. Simulation and experimental results for bo...

72 1070-9924/97/$10.00 © 1997 IEEE IEEE COMPUTATIONAL SCIENCE & ENGINEERING For computer vision and image-processing systems to successfully interpret an image, they must first be able to detect the edges of each object in the image. Such systems start by segmenting the image into regions, in a process called image segmentation. In the region-growing approach to segmentation, contiguous pixels ...

Improvement in remote sensing techniques in spatial/spectral resolution strengthens their applicability for urban environmental study. Unfortunately, high spatial resolution imagery also increases internal variability in land cover units and can cause a ‘salt-and-pepper’ effect, resulting in decreased accuracy using pixel-based classification results. Region-based classification techniques, usi...

We propose a new adaptive algorithm for semiautomatic video object segmentation based on joint pixel features using the undecimated wavelet packet transform (UWPT) and luminance value. The method starts with the object’s boundary specification at the reference frame assisted by the user. After selecting a set of feature points which approximate the object’s boundary, the amplitude of coefficien...