This paper describes a data collection on passive and active imaging and the preliminary analysis. It is part of an ongoing work on active and passive imaging for target identification using different wavelength bands. We focus on data collection at NIR-SWIR wavelengths but we also include the visible and the thermal region. Active imaging in NIRSWIR will support the passive imaging by eliminating shadows during day-time and allow night operation. Among the applications that are most likely for active multispectral imaging, we focus on long range human target identification. We also study the combination of active and passive sensing. The target scenarios of interest include persons carrying different objects and their associated activities. We investigated laser imaging for target detection and classification up to 1 km assuming that another cueing sensor – passive EO and/or radar – is available for target acquisition and detection. Broadband or multispectral operation will reduce the effects of target speckle and atmospheric turbulence. Longer wavelengths will improve performance in low visibility conditions due to haze, clouds and fog. We are currently performing indoor and outdoor tests to further investigate the target/background phenomena that are emphasized in these wavelengths. We also investigate how these effects can be used for target identification and image fusion. Performed field tests and the results of preliminary data analysis are reported.
TALOS (Transportable and Autonomous Land bOrder Surveillance system - www.talos-border.eu) is an international
research project co-funded from EU 7th Framework Program funds in Security priority. The main objective of TALOS
project is to develop and field test the innovative concept of a mobile, autonomous system for protecting European land
borders. Unmanned Ground Vehicles (UGVs) are major components of TALOS project. The UGVs will be equipped
with long range radar for detection of moving vehicle and people, as well as long focal length EO/IR sensors allowing
the operator to recognize and identify the detected objects of interest. Furthermore medium focal length IR sensors are
used to allow the operator to drive the UGV. Those sensors must fulfill mission requirements for extremely various
environmental conditions (backgrounds, topographic characteristics, climatic conditions, weather conditions) existing
from Finland in the North and Bulgaria / Turkey in the South of Europe. An infrared sensor performance model was
developed at ONERA in order to evaluate target detection, recognition and identification range for several simulations
cases representative of the whole environmental variability domain. Results analysis allows assessing the operability
domain of the infrared sensors. This paper presents the infrared sensor performance evaluation methodology and the
synthesis of a large number of simulation results applied to two infrared sensors of interest: a medium / long range
cooled MWIR sensor for observation and a short / medium uncooled LWIR sensor for navigation.
Infrared synthetic imagery simulators are commonly used for validation of infrared imaging terminal guidance missile performances. A high level of confidence for infrared synthetic imagery simulation is needed. The prediction fiability depends on radiance model quality and input parameters knowledge.
An infrared radiance contrast prediction model was developed at ONERA to study environmental and target/background characteristics effects on contrasts in infrared scene. The aim of this study is to compare the prediction robustness in middlewave and longwave infrared spectral bands (MWIR, LWIR), and, later, to estimate input parameters uncertainties on the prediction quality.
This paper presents the validation methodology and validation study results.
A specific validation criterion is used to evaluate the model ability to predict the presence or the lack of contrast between two objects separated by a line (segment). Simulated radiance contrasts are compared to measured contrasts on the PIRRENE test site located 30 km south west of Toulouse, France.
Model validation needs a large number of conditions to cover the application domain. The specified conditions are: 2 climatological conditions (summer, winter), 2 meteorological conditions (clear sky, cloudy sky) and 28 segments combining 7 materials and 3 geometries (horizontal/horizontal, vertical/horizontal and vertical/vertical). MWIR and LWIR radiance contrasts are simulated for each condition on complete diurnal cycle with 15-minute sampling.