Single-particle cryogenic electron microscopy (cryo-EM) can now yield near-atomic resolution structures of biological complexes. However, the reference-based alignment algorithms commonly used in cryo-EM suffer from reference bias, limiting their applicability (also known as the 'Einstein from random noise' problem). Low-dose cryo-EM therefore requires robust and objective approaches to reveal ...

The extraction of river planforms from remotely sensed satellite images is a task crucial importance to many applications such as land planning, water resource monitoring, or flood prediction. In this article, we present novel framework for the rivers synthetic aperture radar (SAR) images, based on superpixel segmentation and subsequent classification. Superpixel achieved by modeling image pixe...

Hyperspectral data potentially contain more information than multispectral data because of their higher spectral resolution. However, the stochastic data analysis approaches that have been successfully applied to multispectral data are not as effective for hyperspectral data as well. Various investigations indicate that the key problem that causes poor performance in the stochastic approaches t...

Polygon-based classification was performed on multi-scale images of SPOT4 XS, SPOT5 XS, IKONOS XS, QuickBird XS and QuickBird Pansharpaned (PS) covering an agricultural area located in Karacabey, Turkey. The objective of the study was to assess the classification accuracies of different spatial resolution images on an agricultural land using the polygon-based classification techniques. The exis...

A generic image processing chain for the fusion of very high resolution optical and SAR imagery is developed. It is fast to operate and provides reasonably good accuracy. This method is capable of rapidly registering optical and SAR images based on extracted features rather than on pixels. Indeed, at very high resolution, pixel approaches fail on above ground structures. An approach on a higher...

This paper compares different image processing routines to identify suitable remote sensing variables for urban classification in the Marion County, Indiana, USA, using a Landsat 7 Enhanced Thematic Mapper Plus (ETM ) image. The ETM multispectral, panchromatic, and thermal images are used. Incorporation of spectral signature, texture, and surface temperature is examined, as well as data fusion ...