Fast and Robust Small Infrared Target Detection Using Absolute Directional Mean Difference Algorithm

Infrared small target detection in an infrared search and track (IRST) system is a challenging task. This situation becomes more complicated when high gray-intensity structural backgrounds appear in the field of view (FoV) of the infrared seeker. While the majority of the infrared small target detection algorithms neglect directional information, in this paper, a directional approach is presented to suppress structural backgrounds and develop a more effective detection algorithm. To this end, a similar concept to the average absolute gray difference (AAGD) is utilized to construct a novel directional small target detection algorithm called absolute directional mean difference (ADMD). Also, an efficient implementation procedure is presented for the proposed algorithm. The proposed algorithm effectively enhances the target area and eliminates background clutter. Simulation results on real infrared images prove the significant effectiveness of the proposed algorithm.Comment: The Final version (Accepted in Signal Processing journal

Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps

Hyperspectral cameras can provide unique spectral signatures for consistently distinguishing materials that can be used to solve surveillance tasks. In this paper, we propose a novel real-time hyperspectral likelihood maps-aided tracking method (HLT) inspired by an adaptive hyperspectral sensor. A moving object tracking system generally consists of registration, object detection, and tracking modules. We focus on the target detection part and remove the necessity to build any offline classifiers and tune a large amount of hyperparameters, instead learning a generative target model in an online manner for hyperspectral channels ranging from visible to infrared wavelengths. The key idea is that, our adaptive fusion method can combine likelihood maps from multiple bands of hyperspectral imagery into one single more distinctive representation increasing the margin between mean value of foreground and background pixels in the fused map. Experimental results show that the HLT not only outperforms all established fusion methods but is on par with the current state-of-the-art hyperspectral target tracking frameworks.Comment: Accepted at the International Conference on Computer Vision and Pattern Recognition Workshops, 201

Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices

In this paper, an automatic method is proposed to perform image registration in visible and infrared pair of video sequences for multiple targets. In multimodal image analysis like image fusion systems, color and IR sensors are placed close to each other and capture a same scene simultaneously, but the videos are not properly aligned by default because of different fields of view, image capturing information, working principle and other camera specifications. Because the scenes are usually not planar, alignment needs to be performed continuously by extracting relevant common information. In this paper, we approximate the shape of the targets by polygons and use affine transformation for aligning the two video sequences. After background subtraction, keypoints on the contour of the foreground blobs are detected using DCE (Discrete Curve Evolution)technique. These keypoints are then described by the local shape at each point of the obtained polygon. The keypoints are matched based on the convexity of polygon's vertices and Euclidean distance between them. Only good matches for each local shape polygon in a frame, are kept. To achieve a global affine transformation that maximises the overlapping of infrared and visible foreground pixels, the matched keypoints of each local shape polygon are stored temporally in a buffer for a few number of frames. The matrix is evaluated at each frame using the temporal buffer and the best matrix is selected, based on an overlapping ratio criterion. Our experimental results demonstrate that this method can provide highly accurate registered images and that we outperform a previous related method

HST and Spitzer Observations of the HD 207129 Debris Ring

A debris ring around the star HD 207129 (G0V; d = 16.0 pc) has been imaged in scattered visible light with the ACS coronagraph on the Hubble Space Telescope and in thermal emission using MIPS on the Spitzer Space Telescope at 70 microns (resolved) and 160 microns (unresolved). Spitzer IRS (7-35 microns) and MIPS (55-90 microns) spectrographs measured disk emission at >28 microns. In the HST image the disk appears as a ~30 AU wide ring with a mean radius of ~163 AU and is inclined by 60 degrees from pole-on. At 70 microns it appears partially resolved and is elongated in the same direction and with nearly the same size as seen with HST in scattered light. At 0.6 microns the ring shows no significant brightness asymmetry, implying little or no forward scattering by its constituent dust. With a mean surface brightness of V=23.7 mag per square arcsec, it is the faintest disk imaged to date in scattered light.Comment: 28 pages, 8 figure

In Vivo Fluorescence Imaging of E-Selectin: Quantitative Detection of Endothelial Activation in Arthritis

Rheumatoid arthritis (RA) is a chronic progressive systemic inflammatory disease, characterized by synovial inflammation and localized destruction of cartilage and bone. Heterogeneity in the clinical presentation of RA and uncertainty about which patients will respond to treatment makes diagnosis and management challenging. Fluorescent imaging in the near infrared (NIR) spectrum significantly decreases tissue autofluorescence offering unique potential to detect specific molecular targets in vivo. E-selectin or endothelial adhesion molecule-1 (ELAM-1), a 115kDa glycoprotein induced on endothelial cells in response to pro-inflammatory cytokines involved in RA, such as interleukin (IL)-1 beta and tumour necrosis factor alpha (TNF alpha). E-selectin has been well validated as a potential biomarker of disease activity. My study aimed to investigate whether E-selectin targeted optical imaging in vivo could be developed as a sensitive, specific and quantifiable preclinical molecular imaging technique, and also whether this approach could be used to delineate the molecular effects of novel therapies. I utilised anti-E-selectin antibody labelled with NIR fluorophore in a mouse model of paw swelling induced by intra-plantar injection of TNF alpha, and in acute collagen-induced arthritis (CIA) in DBA/1 mice, a widely used model of RA. E-selectin generated signal, localised to points of maximal clinical inflammation in the inflamed mouse paw in both models with significant differences to control antibody. Binding of anti-E-selectin antibody was also demonstrated by immunohistochemistry in both models. The ability of E-selectin targeted imaging to detect sub-clinical endothelial activation was also investigated, demonstrating that E-selectin may be an excellent way of determining subclinical vascular activation in CIA. Finally the effect of novel targeted therapy – RB200 which blocks epidermal growth factor (EGF) signalling was investigated. This demonstrated that E-selectin targeted signal could be absolutely abrogated to a level seen in unimmunised healthy control animals, following combination treatment with RB200 and the TNF alpha inhibitor etanercept. E-selectin targeted optical imaging is a viable in vivo imaging technique that can also be applied to quantify disease and investigate the effects of novel molecular therapies. It holds significant promise as a molecular imaging technique for future translation into the clinic for patients with rheumatoid arthritis and other inflammatory diseases

The Mid-Infrared Instrument for the James Webb Space Telescope, V: Predicted Performance of the MIRI Coronagraphs

The imaging channel on the Mid-Infrared Instrument (MIRI) is equipped with four coronagraphs that provide high contrast imaging capabilities for studying faint point sources and extended emission that would otherwise be overwhelmed by a bright point-source in its vicinity. Such bright sources might include stars that are orbited by exoplanets and circumstellar material, mass-loss envelopes around post-main-sequence stars, the near-nuclear environments in active galaxies, and the host galaxies of distant quasars. This paper describes the coronagraphic observing modes of MIRI, as well as performance estimates based on measurements of the MIRI flight model during cryo-vacuum testing. A brief outline of coronagraphic operations is also provided. Finally, simulated MIRI coronagraphic observations of a few astronomical targets are presented for illustration