Demonstration of Hyperspectral Image Exploitation for Military Applications

Ardouin, Jean-Pierre; Lvesque, Jose; Roy, Vincent; Van, Yves; Faust, Anthony A.

doi:10.5772/37681

Cited by 9 publications

(9 citation statements)

References 4 publications

(4 reference statements)

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“…Hyperspectral imaging aims to capture the details of the spectra of natural scene . It is playing great roles in both scientific research and engineering applications, such as military security [1,2], environmental monitoring [3], biological science [4,5], medical diagnosis [6,7], scientific observation [8,9], and many other fields [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Snapshot hyperspectral imaging via spectral basis multiplexing in Fourier domain

Deng¹,

Hu²,

Suo³

et al. 2018

Opt. Express

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Hyperspectral imaging is an important tool having been applied in various fields, but still limited in observation of dynamic scenes. In this paper, we propose a snapshot hyperspectral imaging technique which exploits both spectral and spatial sparsity of natural scenes. Under the computational imaging scheme, we conduct spectral dimension reduction and spatial frequency truncation to the hyperspectral data cube and snapshot it in a low cost manner. Specifically, we modulate the spectral variations by several broadband spectral filters, and then map these modulated images into different regions in the Fourier domain. The encoded image compressed in both spectral and spatial are finally collected by a monochrome detector. Correspondingly, the reconstruction is essentially a Fourier domain extraction and spectral dimensional back projection with low computational load. This Fourier-spectral multiplexing in a 2D sensor simplifies both the encoding and decoding process, and makes hyperspectral data captured in a low cost manner. We demonstrate the high performance of our method by quantitative evaluation on simulation data and build a prototype system experimentally for further validation.

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Section: Introductionmentioning

confidence: 99%

Snapshot hyperspectral imaging via spectral basis multiplexing in Fourier domain

Deng¹,

Hu²,

Suo³

et al. 2018

Opt. Express

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“…The systematic and intelligent analyses of the remote sensing images provide a unique opportunity for understanding how, when, and where changes take place in our world. Precious information exploited from spatial repositories has been promoting benefits on many areas, such as agricultural [1,2] (forecast of harvests and soil erosion), hydric [3] (use of water resources and verification of the water quality), urban [4] (urban planning and demographic inferences), forest [5][6][7] (monitoring deforestation and biomass control), limnology [8] (characterization of aquatic vegetation and identification of water types), meteorology [9] (weather and climate studies), air traffic [10] (information for safety in the air), and national security [11] (military strategic planning of operations and missions).…”

Section: Introductionmentioning

confidence: 99%

Multiagent System for Image Mining

Freitas¹,

SantosSilva²

2017

Multi-Agent Systems

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The overdone growth, wide availability, and demands for remote sensing databases combined with human limits to analyze such huge datasets lead to a need to investigate tools, techniques, methodologies, and theories capable of assisting humans at extracting knowledge. Image mining arises as a solution to extract implicit knowledge intelligently and semiautomatically or other patterns not explicitly stored in the huge image databases. However, spatial databases are among the ones with the fastest growth due to the volume of spatial information produced many times a day, demanding the investigation of other means for knowledge extraction. Multiagent systems are composed of multiple computing elements known as agents that interact to pursuit their goals. Agents have been used to explore information in the distributed, open, large, and heterogeneous platforms. Agent mining is a potential technology that studies ways of interaction and integration between data mining and agents. This area brought advances to the technologies involved such as theories, methodologies, and solutions to solve relevant issues more precisely, accurately and faster. AgentGeo is evidence of this, a multiagent system of satellite image mining that, promotes advances in the state of the art of agent mining, since it relevant functions to extract knowledge from spatial databases.

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“…However, as three bands are used in display systems, rendering hyper-spectral images directly on conventional display systems is not feasible. HSI are used in various applications [1,2] thus having capability of a good meaningful visualization is a prime requirement. Fundamentally there can be two ways to display HS data.…”

Section: Introductionmentioning

confidence: 99%