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The detection and extraction of buildings using high resolution synthetic aperture radar (SAR) images has been the topic of recent discussions. In this paper, a framework for building extraction and classification is proposed. Buildings are classified into three kinds: commercial architecture, residential building and Industrial building, by the fusion of structure features (point-like, linear and...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features...
Using synthetic aperture radar (SAR) for ship detection is a significant application for maritime monitoring and security. Ship detectors depress the disturbance from the sea surface such that the background consistently shows the sea pixels. However, in addition to water, the vast sea also contains other real objects, of which small islands are the most common. In this paper, we investigated the...
This paper proposes a new detector for interested object detection in high resolution SAR image. To obtain higher performance, four parameters are required to describe features of the interested object. Specifically, the parameters of segmentation scale and average expected object size are used for SAR image segmentation to get patches, which are small image parts to capture fine scale information...
Vessel detection becomes more and more important applications of remote sensing. In this paper, a vessel detection method based on gravity enhancement and multi-scale processing was applied to Synthetic Aperture Radar (SAR) images. With the method, targets' pixels were enhanced by the interactions between themselves and their neighbors, while the speckle and background clutter were suppressed after...
Quantitative PET imaging usually requires the arterial blood sampling, which is an invasive measure and may introduce risks or other complications to patients. People are trying several non-invasive methods to obtain the quantitative tracer concentrations by measuring the reconstructed intensity of the artery in the PET imaging. However, all these methods have certain limitations for brain study due...
An ultra-resolution high-sensitivity preclinical PET/CT - MuPET is designed and manufactured. The detector system is a triacontagon shape which is very close to a perfect cylindrical ring. The inner diameter of the ring is 165 mm and the axial length is 116 mm. The detector system is using 180 PMT-quadrant-sharing (PQS) blocks - 30 blocks per ring and 6 rings axially with 210 low-cost round PMTs for...
We developed a digital signal processing method to measure the coincidence timing resolution of a 13×13 (4×4×20 mm3) PQS LYSO block coupled with Hamamatsu R9779 PMT and investigated the time alignment effect. A single LYSO (4×4×20 mm3) coupled with R9779 was used as a timing measurement reference which has a resolution of 214 ps (FHWM). Signals from PMTs were captured by oscilloscope and analyzed...
A lower-cost high-sensitivity high-resolution positron emission mammography (PEM) camera is developed. It consists of two detector modules with the planar detector bank of 20 ?? 12 cm2. Each bank has 60 low-cost PMT-Quadrant-Sharing (PQS) LYSO blocks arranged in a 10 ?? 6 array with two types of geometries. One is the symmetric 19.36 ?? 19.36 mm2 block made of 1.5 ?? 1.5 ?? 10 mm3 crystals in a 12...
Current clinical PET with 4-6 mm intrinsic resolution (6-9 mm practical) limits many important brain studies. The objective of this study is to use our existing technology for realizing an ultrahigh resolution high-sensitivity PET with a lower cost for neuroimaging. This proposed neuro-PET has a 54-cm detector ring diameter, a large 21-cm axial field of view (AFOV) for capturing the whole brain and...
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