Proceedings Volume 9840 is from: Logo
SPIE DEFENSE + SECURITY
17-21 April 2016
Baltimore, Maryland, United States
Front Matter: Volume 9840
Proc. SPIE 9840, Front Matter: Volume 9840, 984001 (28 June 2016); doi: 10.1117/12.2246512
Classification
Proc. SPIE 9840, A study of neural network parameters for improvement in classification accuracy, 984003 (17 May 2016); doi: 10.1117/12.2223805
Proc. SPIE 9840, Tensor subspace analysis for spatial-spectral classification of hyperspectral data, 984004 (17 May 2016); doi: 10.1117/12.2223815
Proc. SPIE 9840, Classification performance of a block-compressive sensing algorithm for hyperspectral data processing, 984005 (17 May 2016); doi: 10.1117/12.2224542
Sensor Characterization
Proc. SPIE 9840, New applications of Spectral Edge image fusion, 984009 (17 May 2016); doi: 10.1117/12.2223703
Proc. SPIE 9840, Metamaterial based narrow bandwidth angle-of-incidence independent transmission filters for hyperspectral imaging, 98400A (17 May 2016); doi: 10.1117/12.2223761
Applications
Proc. SPIE 9840, Developing a confidence metric for the Landsat land surface temperature product, 98400C (17 May 2016); doi: 10.1117/12.2222582
Proc. SPIE 9840, Detecting red blotch disease in grape leaves using hyperspectral imaging, 98400D (23 May 2016); doi: 10.1117/12.2223814
Proc. SPIE 9840, Spectral feature characterization methods for blood stain detection in crime scene backgrounds, 98400E (17 May 2016); doi: 10.1117/12.2224099
Invited Session: Solid Target Variability I
Proc. SPIE 9840, Ideal system morphology and reflectivity measurements for radiative-transfer model development and validation, 98400H (17 May 2016); doi: 10.1117/12.2224637
Proc. SPIE 9840, Experimental effects on IR reflectance spectra: particle size and morphology, 98400I (17 May 2016); doi: 10.1117/12.2223909
Proc. SPIE 9840, A next generation field-portable goniometer system, 98400J (17 May 2016); doi: 10.1117/12.2223180
Invited Session: Solid Target Variability II
Proc. SPIE 9840, NEFDS contamination model parameter estimation of powder contaminated surfaces, 98400L (17 May 2016); doi: 10.1117/12.2222302
Proc. SPIE 9840, Radiative transfer modeling of surface chemical deposits, 98400M (17 May 2016); doi: 10.1117/12.2224071
Proc. SPIE 9840, Hierarchical multi-scale approach to validation and uncertainty quantification of hyper-spectral image modeling, 98400N (17 May 2016); doi: 10.1117/12.2224262
Proc. SPIE 9840, Advancing the retrievals of surface emissivity by modelling the spatial distribution of temperature in the thermal hyperspectral scene, 98400O (17 May 2016); doi: 10.1117/12.2223749
Proc. SPIE 9840, Modeling and analysis of LWIR signature variability associated with 3D and BRDF effects, 98400P (17 May 2016); doi: 10.1117/12.2224115
Proc. SPIE 9840, Solid target spectral variability in LWIR, 98400Q (17 May 2016); doi: 10.1117/12.2222939
Proc. SPIE 9840, Spectral BRDF modeling of vehicle signature observations in the VNIR-SWIR, 98400R (17 May 2016); doi: 10.1117/12.2225018
Proc. SPIE 9840, Instance influence estimation for hyperspectral target signature characterization using extended functions of multiple instances, 98400S (17 May 2016); doi: 10.1117/12.2228154
Proc. SPIE 9840, Graph-based and statistical approaches for detecting spectrally variable target materials, 98400T (17 May 2016); doi: 10.1117/12.2224091
Proc. SPIE 9840, Identification of solid materials using HSI spectral oscillators, 98400U (17 May 2016); doi: 10.1117/12.2224337
Target Detection
Proc. SPIE 9840, Anomaly detection in hyperspectral imagery: statistics vs. graph-based algorithms, 98400V (17 May 2016); doi: 10.1117/12.2222577
Proc. SPIE 9840, Target detection in hyperspectral Imaging using logistic regression, 98400W (17 May 2016); doi: 10.1117/12.2223943
Proc. SPIE 9840, Comparison of algorithms for blood stain detection applied to forensic hyperspectral imagery, 98400X (17 May 2016); doi: 10.1117/12.2223293
Proc. SPIE 9840, Biased normalized cuts for target detection in hyperspectral imagery, 98400Y (17 May 2016); doi: 10.1117/12.2224067
Proc. SPIE 9840, Methods and challenges for target detection and material identification for longwave infrared hyperspectral imagery, 98400Z (17 May 2016); doi: 10.1117/12.2225914
Invited Session: Novel Mathematically Inspired Methods of Processing Hyperspectral Imagery
Proc. SPIE 9840, Agile multi-scale decompositions for automatic image registration, 984011 (17 May 2016); doi: 10.1117/12.2222182
Proc. SPIE 9840, Schroedinger eigenmaps with knowledge propagation for target detection, 984012 (17 May 2016); doi: 10.1117/12.2223326
Proc. SPIE 9840, Building robust neighborhoods for manifold learning-based image classification and anomaly detection , 984015 (25 May 2016); doi: 10.1117/12.2227224
Proc. SPIE 9840, A parametric study of unsupervised anomaly detection performance in maritime imagery using manifold learning techniques, 984016 (25 May 2016); doi: 10.1117/12.2227226
Proc. SPIE 9840, Use of high dimensional model representation in dimensionality reduction: application to hyperspectral image classification, 984017 (17 May 2016); doi: 10.1117/12.2227326
Proc. SPIE 9840, Analyzing hyperspectral images into multiple subspaces using Gaussian mixture models, 98401A (17 May 2016); doi: 10.1117/12.2224234
Proc. SPIE 9840, A nonlinear modeling framework for the detection of underwater objects in hyperspectral imagery, 98401B (17 May 2016); doi: 10.1117/12.2228496
Spectral Signature Modeling, Measurements, and Applications
Proc. SPIE 9840, A hyperspectral vehicle BRDF sampling experiment, 98401D (17 May 2016); doi: 10.1117/12.2225450
Proc. SPIE 9840, Calculation of vibrational and electronic excited state absorption spectra of arsenic-water complexes using density functional theory, 98401E (17 May 2016); doi: 10.1117/12.2222592
Proc. SPIE 9840, Modeling of forest canopy BRDF using DIRSIG, 98401F (17 May 2016); doi: 10.1117/12.2223354
Proc. SPIE 9840, Imaging of gaseous oxygen through DFB laser illumination, 98401G (17 May 2016); doi: 10.1117/12.2228984
Proc. SPIE 9840, Towards an improved understanding of the influence of subpixel vegetation structure on pixel-level spectra: a simulation approach, 98401H (17 May 2016); doi: 10.1117/12.2224141
Dimensionality Reduction
Proc. SPIE 9840, How many spectral bands are necessary to describe the directional reflectance of beach sands?, 98401I (17 May 2016); doi: 10.1117/12.2222221
Proc. SPIE 9840, Simultaneously sparse and low-rank hyperspectral image recovery from coded aperture compressive measurements via convex optimization, 98401J (17 May 2016); doi: 10.1117/12.2224358
Proc. SPIE 9840, Manifold alignment with Schroedinger eigenmaps, 98401K (17 May 2016); doi: 10.1117/12.2224068
Spectral Characterization, Detection, and Identification
Proc. SPIE 9840, Chemical plume detection with an iterative background estimation technique, 98401M (17 May 2016); doi: 10.1117/12.2224350
Proc. SPIE 9840, Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences, 98401N (17 May 2016); doi: 10.1117/12.2224117
Proc. SPIE 9840, Temperature-emissivity separation for LWIR sensing using MCMC, 98401O (17 May 2016); doi: 10.1117/12.2223263
Proc. SPIE 9840, Polarimetric assist to HSI atmospheric compensation and material identification, 98401P (17 May 2016); doi: 10.1117/12.2222824
Proc. SPIE 9840, A spectral climatology for atmospheric compensation of hyperspectral imagery, 98401Q (17 May 2016); doi: 10.1117/12.2224746
Proc. SPIE 9840, Generation of remotely sensed reference data using low altitude, high spatial resolution hyperspectral imagery, 98401R (17 May 2016); doi: 10.1117/12.2224126
Sensor Design and Development
Proc. SPIE 9840, An imaging spectro-polarimeter for measuring hemispherical spectrally resolved down-welling sky polarization, 98401S (17 May 2016); doi: 10.1117/12.2227925
Proc. SPIE 9840, Compact hyperspectral camera in the mid-infrared for small UAVs, 98401T (17 May 2016); doi: 10.1117/12.2224076
Proc. SPIE 9840, Compact multispectral multi-camera imaging system for small UAVs, 98401U (17 May 2016); doi: 10.1117/12.2224495
Proc. SPIE 9840, Software defined multi-spectral imaging for Arctic sensor networks, 98401V (17 May 2016); doi: 10.1117/12.2222966
Interactive Poster Session
Proc. SPIE 9840, Lossless compression of hyperspectral images based on the prediction error block, 98401W (17 May 2016); doi: 10.1117/12.2228252