Ground-Based Hyperspectral Image Surveillance Systems for Explosive Detection: Part II-Radiance to Reflectance Conversions

Date

2019-12-01

Author

Koz, Alper

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

307
views

0
downloads

The usage of white references for reflectance conversion in a captured scene for potential ground-based hyperspectral image surveillance systems suffers from security, as it exposes the location of the system, and could be expensive for a broad application due to the high prices of standard Spectralons. In Part I of this two-part article, the state-of-the-art of ground-based hyperspectral imaging systems for explosive trace detection was discussed along with the future challenges for generic surveillance systems. The part II of the article proposes different approaches for reflection conversion to compensate the usage of white references at every capturing instant during surveillance, which is one of the main challenges of these systems. As an initial approach, recording the radiance of white reference only at the initialization of the system is tested by capturing an experimental setup in different days and times throughout a duration of two months. The correlations between the incident lights obtained from white references at different times, days, and orientations are compared. The effects of using a prerecorded white radiance for the reflectance conversion in the current scene are investigated. Second, a practical approach for reflectance calculation is tested by employing cheap-price reference objects having smooth characteristics in short-wave infrared spectrum, instead of expensive Spectralons. Finally, a novel reflectance conversion method is developed by using the reflectance of the static background materials in the scene rather than standard references by considering the stationary characteristics of surveillance systems. The proposed approaches are compared and verified on the baseline detection methods.

Subject Keywords

Computers in Earth Sciences, Atmospheric Science

URI

https://hdl.handle.net/11511/62335

Journal

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

DOI

https://doi.org/10.1109/jstars.2020.2964483

Collections

Center for Image Analysis (OGAM), Article

Suggestions

OpenMETU
Core

Ground-Based Hyperspectral Image Surveillance Systems for Explosive Detection: Part I-State of the Art and Challenges Koz, Alper (Institute of Electrical and Electronics Engineers (IEEE), 2019-12-01) Existing ground-based hyperspectral imaging (HSI) systems provide a good potential for standoff detection of explosives and their traces. The current technology, however, has still essential challenges to achieve a generic surveillance system for dynamic scenes with moving vehicles. In this regard, part I of this two-part article presents a state-of-the-art of existing HSI systems for explosive detection and discusses the future challenges for such a surveillance system. Considering the utilization of a lig...
Heliport Detection Using Artificial Neural Networks Baseski, Emre (American Society for Photogrammetry and Remote Sensing, 2020-09-01) Automatic image exploitation is a critical technology for quick content analysis of high-resolution remote sensing images. The presence of a heliport on an image usually implies an important facility, such as military facilities. Therefore, detection of heliports can reveal critical information about the content of an image. In this article, two learning-based algorithms are presented that make use of artificial neural networks to detect H-shaped, light-colored heliports. The first algorithm is based on sha...
Image Chain Simulation for Earth Observation Satellites Alici, Kamil B.; Öktem, Sevinç Figen; Karci, Ozgur; Yilmaz, A. Serdar; Selimoglu, Ozgur (Institute of Electrical and Electronics Engineers (IEEE), 2019-10-01) We present a general-purpose end-to-end image chain simulation (ICS) that enables to assess the image quality of a satellite imager for Earth observations. The image chain consists of four main components: radiometry, atmosphere, optics, and detector. In particular, ICS first computes the input radiance from the reflectance values of a high-resolution input, and then calculates the image radiance by using the optical transfer function (OTF) of the overall system. This OTF contains all the distortion effects...
3D object recognition from range images İzciler, Fatih; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2012) Recognizing generic objects by single or multi view range images is a contemporary popular problem in 3D object recognition area with developing technology of scanning devices such as laser range scanners. This problem is vital to current and future vision systems performing shape based matching and classification of the objects in an arbitrary scene. Despite improvements on scanners, there are still imperfections on range scans such as holes or unconnected parts on images. This studyobjects at proposing an...
Airborne laser scanning data for snow covered biomass estimation Vazirabad, Yashar Fallah; Karslıoğlu, Mahmut Onur (SPIE-Intl Soc Optical Eng, 2009-04-13) Airborne laser scanning provides reliable terrain data in terms of 3D coordinates. High resolutions Digital Terrain Models (DTM) are in use for many applications, including change detection of surfaces. Also the estimation of the snow depth by making use of Airborne Laser Scanning (ALS) data acquired in summer and winter is a subject of current investigations. However estimating snow depth seems problematic in vegetation covered areas. This work focuses on the investigation of the snow depth estimation usin...

Citation Formats

A. Koz, “Ground-Based Hyperspectral Image Surveillance Systems for Explosive Detection: Part II-Radiance to Reflectance Conversions,” IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, pp. 4754–4765, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62335.