MIUS News: Maps and Imagery User Services @ FIU Green Library: Vol. 3, Issue 2 Fall 2009

Florida International University's Fall 2009 Map and User Imagery Services Newsletter; Vol. 3, issue 2.

MIUS News: Maps and Imagery User Services @ FIU Green Library: Vol. 3, Issue 2, Spring 2010

Florida International University's Spring 2010 Map and User Imagery Services Newsletter.

MIUS News: Maps and Imagery User Services @ FIU Green Library: Vol. 4, Issue 1 Fall 2012

Florida International University's Fall 2012 Map and User Imagery Services Newsletter.

MIUS News: Maps and Imagery User Services @ FIU Green Library: Vol. 4, Issue 2 Spring/Summer 2013

Florida International University's Spring/Summer 2013 Map and User Imagery Services Newsletter.

MIUS News : Maps and Imagery User Services @ FIU Green Library: Vol. 5 Issue 1 Fall 2013

Florida International University's Fall 2013 Map and User Imagery Services Newsletter

MIUS News: Maps and Imagery User Services @ FIU Green Library: Volume 6, Issue 1 Spring 2015

Florida International University's Spring 2015 Maps and User Imagery Services Newsletter

Temporal Coding of Volumetric Imagery

'Image volumes' refer to realizations of images in other dimensions such as time, spectrum, and focus. Recent advances in scientific, medical, and consumer applications demand improvements in image volume capture. Though image volume acquisition continues to advance, it maintains the same sampling mechanisms that have been used for decades; every voxel must be scanned and is presumed independent of its neighbors. Under these conditions, improving performance comes at the cost of increased system complexity, data rates, and power consumption.

This dissertation explores systems and methods capable of efficiently improving sensitivity and performance for image volume cameras, and specifically proposes several sampling strategies that utilize temporal coding to improve imaging system performance and enhance our awareness for a variety of dynamic applications.

Video cameras and camcorders sample the video volume (x,y,t) at fixed intervals to gain understanding of the volume's temporal evolution. Conventionally, one must reduce the spatial resolution to increase the framerate of such cameras. Using temporal coding via physical translation of an optical element known as a coded aperture, the compressive temporal imaging (CACTI) camera emonstrates a method which which to embed the temporal dimension of the video volume into spatial (x,y) measurements, thereby greatly improving temporal resolution with minimal loss of spatial resolution. This technique, which is among a family of compressive sampling strategies developed at Duke University, temporally codes the exposure readout functions at the pixel level.

Since video cameras nominally integrate the remaining image volume dimensions (e.g. spectrum and focus) at capture time, spectral (x,y,t,\lambda) and focal (x,y,t,z) image volumes are traditionally captured via sequential changes to the spectral and focal state of the system, respectively. The CACTI camera's ability to embed video volumes into images leads to exploration of other information within that video; namely, focal and spectral information. The next part of the thesis demonstrates derivative works of CACTI: compressive extended depth of field and compressive spectral-temporal imaging. These works successfully show the technique's extension of temporal coding to improve sensing performance in these other dimensions.

Geometrical optics-related tradeoffs, such as the classic challenges of wide-field-of-view and high resolution photography, have motivated the development of mulitscale camera arrays. The advent of such designs less than a decade ago heralds a new era of research- and engineering-related challenges. One significant challenge is that of managing the focal volume (x,y,z) over wide fields of view and resolutions. The fourth chapter shows advances on focus and image quality assessment for a class of multiscale gigapixel cameras developed at Duke.

Along the same line of work, we have explored methods for dynamic and adaptive addressing of focus via point spread function engineering. We demonstrate another form of temporal coding in the form of physical translation of the image plane from its nominal focal position. We demonstrate this technique's capability to generate arbitrary point spread functions.

Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery

Permafrost landscapes experience different disturbances and store large amounts of organic matter, which may become a source of greenhouse gases upon permafrost degradation. We analysed the influence of terrain and geomorphic disturbances (e.g. soil creep, active-layer detachment, gullying, thaw slumping, accumulation of fluvial deposits) on soil organic carbon (SOC) and total nitrogen (TN) storage using 11 permafrost cores from Herschel Island, western Canadian Arctic. Our results indicate a strong correlation between SOC storage and the topographic wetness index. Undisturbed sites stored the majority of SOC and TN in the upper 70 cm of soil. Sites characterised by mass wasting showed significant SOC depletion and soil compaction, whereas sites characterised by the accumulation of peat and fluvial deposits store SOC and TN along the whole core. We upscaled SOC and TN to estimate total stocks using the ecological units determined from vegetation composition, slope angle and the geomorphic disturbance regime. The ecological units were delineated with a supervised classification based on RapidEye multispectral satellite imagery and slope angle. Mean SOC and TN storage for the uppermost 1?m of soil on Herschel Island are 34.8 kg C/m**2 and 3.4 kg N/m**2, respectively.

Imagerie Musicale Involontaire : caractéristiques phénoménologiques et mnésiques

L’imagerie musicale involontaire (IMIN) est un phénomène mental extrêmement commun. Il peut être défini en tant que type d’imagerie mentale musicale qui devient consciente sans effort ou intentionnalité et qui n’est pas pathologique. La forme la plus connue d’IMIN est le « ver d’oreille », qui se présente généralement comme un court extrait musical tournant en boucle en tête et dont on se débarrasse difficilement. L’objectif principal de la présente thèse est d’investiguer les mécanismes cognitifs sous-tendant le phénomène puisque, malgré l’intérêt répandu dans les médias populaires, son étude expérimentale est récente et un modèle intégré n’a pas encore été proposé. Dans la première étude, l’induction expérimentale a été tentée et les caractéristiques des images mentales d’épisodes d’IMIN ont été investiguées. Dans le laboratoire, des chansons accrocheuses (versus des proverbes) ont été présentées répétitivement aux participants qui devaient ensuite les chanter le plus fidèlement possible. Ils ont par après quitté le laboratoire, une enregistreuse numérique en mains, avec la consigne d’enregistrer une reproduction vocale la plus fidèle possible de ce qu’ils avaient en tête lors de tous leurs épisodes d’IMIN sur une période de quatre jours, ainsi que de décrire leur timbre. L’expérience a été répétée deux semaines plus tard. Douze des dix-huit participants du groupe expérimental ont rapporté des pièces induites comme épisodes d’IMIN, ce qui confirme l’efficacité de la procédure d’induction. La tonalité et le tempo des productions ont ensuite été analysés et comparés à ceux des pièces originales. Similairement pour les épisodes d’IMIN induits et les autres, les tempi produits et, dans une moindre mesure pour les non-musiciens, les tonalités étaient proches des originaux. Le timbre décrit était généralement une version simplifiée de l’original (un instrument et/ou une voix). Trois études se sont ensuite intéressées au lien entre le potentiel d’IMIN et la mémorabilité. Dans une étude préliminaire, 150 chansons du palmarès francophone radiophonique ont été évaluées en ligne par 164 participants, sur leur niveau de familiarité, d’appréciation et de potentiel d’IMIN. Les pièces ont ensuite été divisées en groupes de stimuli à faible et à fort potentiel d’IMIN, qui ont été utilisés dans une tâche typique de rappel libre/reconnaissance, premièrement avec des francophones (pour qui les pièces étaient familières) et ensuite avec des non-francophones (pour qui les pièces étaient non-familières). Globalement, les pièces à fort potentiel d’IMIN étaient mieux rappelées et reconnues que les pièces à faible potentiel. Une dernière étude a investigué l’impact de la variabilité inter-stimulus du timbre sur les résultats précédents, en demandant à une chanteuse d’enregistrer les lignes vocales des pièces et en répétant l’expérience avec ces nouveaux stimuli. La différence précédemment observée entre les stimuli à fort et à faible potentiel d’IMIN dans la tâche de reconnaissance a ainsi disparu, ce qui suggère que le timbre est une caractéristique importante pour le potentiel d’IMIN. En guise de conclusion, nous suggérons que les phénomènes mentaux et les mécanismes cognitifs jouant un rôle dans les autres types de souvenirs involontaires peuvent aussi s’appliquer à l’IMIN. Dépendamment du contexte, la récupération mnésique des pièces peut résulter de la répétition en mémoire à court terme, de l’amorçage à court et long terme ou de l’indiçage provenant de stimuli dans l’environnement ou les pensées. Une des plus importantes différences observables entre l’IMIN et les autres souvenirs involontaires est la répétition. Nous proposons que la nature même de la musique, qui est définie par la répétition à un niveau micro- et macro-structurel en est responsable.

Using crowdsourced imagery to detect cultural ecosystem services: a case study in South Wales, UK

Within ecological research and environmental management, there is currently a focus on demonstrating the links between human well-being and wildlife conservation. Within this framework, there is a clear interest in better understanding how and why people value certain places over others. We introduce a new method that measures cultural preferences by exploring the potential of multiple online georeferenced digital photograph collections. Using ecological and social considerations, our study contributes to the detection of places that provide cultural ecosystem services. The degree of appreciation of a specific place is derived from the number of people taking and sharing pictures of it. The sequence of decisions and actions taken to share a digital picture of a given place includes the effort to travel to the place, the willingness to take a picture, the decision to geolocate the picture, and the action of sharing it through the Internet. Hence, the social activity of sharing pictures leaves digital proxies of spatial preferences, with people sharing specific photos considering the depicted place not only “worth visiting” but also “worth sharing visually.” Using South Wales as a case study, we demonstrate how the proposed methodology can help identify key geographic features of high cultural value. These results highlight how the inclusion of geographical user-generated content, also known as volunteered geographic information, can be very effective in addressing some of the current priorities in conservation. Indeed, the detection of the most appreciated nonurban areas could be used for better prioritization, planning, and management.

Signal subspace identification in hyperspectral imagery

Terrestrial remote sensing imagery involves the acquisition of information from the Earth's surface without physical contact with the area under study. Among the remote sensing modalities, hyperspectral imaging has recently emerged as a powerful passive technology. This technology has been widely used in the fields of urban and regional planning, water resource management, environmental monitoring, food safety, counterfeit drugs detection, oil spill and other types of chemical contamination detection, biological hazards prevention, and target detection for military and security purposes [2-9]. Hyperspectral sensors sample the reflected solar radiation from the Earth surface in the portion of the spectrum extending from the visible region through the near-infrared and mid-infrared (wavelengths between 0.3 and 2.5 µm) in hundreds of narrow (of the order of 10 nm) contiguous bands [10]. This high spectral resolution can be used for object detection and for discriminating between different objects based on their spectral xharacteristics [6]. However, this huge spectral resolution yields large amounts of data to be processed. For example, the Airbone Visible/Infrared Imaging Spectrometer (AVIRIS) [11] collects a 512 (along track) X 614 (across track) X 224 (bands) X 12 (bits) data cube in 5 s, corresponding to about 140 MBs. Similar data collection ratios are achieved by other spectrometers [12]. Such huge data volumes put stringent requirements on communications, storage, and processing. The problem of signal sbspace identification of hyperspectral data represents a crucial first step in many hypersctral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction (DR) yelding gains in data storage and retrieval and in computational time and complexity. Additionally, DR may also improve algorithms performance since it reduce data dimensionality without losses in the useful signal components. The computation of statistical estimates is a relevant example of the advantages of DR, since the number of samples required to obtain accurate estimates increases drastically with the dimmensionality of the data (Hughes phnomenon) [13].

Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review

The purpose of this paper is to survey and assess the state-of-the-art in automatic target recognition for synthetic aperture radar imagery (SAR-ATR). The aim is not to develop an exhaustive survey of the voluminous literature, but rather to capture in one place the various approaches for implementing the SAR-ATR system. This paper is meant to be as self-contained as possible, and it approaches the SAR-ATR problem from a holistic end-to-end perspective. A brief overview for the breadth of the SAR-ATR challenges is conducted. This is couched in terms of a single-channel SAR, and it is extendable to multi-channel SAR systems. Stages pertinent to the basic SAR-ATR system structure are defined, and the motivations of the requirements and constraints on the system constituents are addressed. For each stage in the SAR-ATR processing chain, a taxonomization methodology for surveying the numerous methods published in the open literature is proposed. Carefully selected works from the literature are presented under the taxa proposed. Novel comparisons, discussions, and comments are pinpointed throughout this paper. A two-fold benchmarking scheme for evaluating existing SAR-ATR systems and motivating new system designs is proposed. The scheme is applied to the works surveyed in this paper. Finally, a discussion is presented in which various interrelated issues, such as standard operating conditions, extended operating conditions, and target-model design, are addressed. This paper is a contribution toward fulfilling an objective of end-to-end SAR-ATR system design.