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Books on the topic 'Object Detecting Sensors'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Yuan-Liang, Tang, Devadiga Sadashiva, and United States. National Aeronautics and Space Administration., eds. A model-based approach for detection of objects in low resolution passive millimeter wave images: An interim report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", for the period January 24, 1992 to January 23, 1993. Dept. of Electrical and COmputer Engineering, Pennsylvania State University, 1993.

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2

Yuan-Liang, Tang, Devadiga Sadashiva, and United States. National Aeronautics and Space Administration., eds. A model-based approach for detection of objects in low resolution passive millimeter wave images: An interim report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", for the period January 24, 1992 to January 23, 1993. Dept. of Electrical and COmputer Engineering, Pennsylvania State University, 1993.

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3

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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4

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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5

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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6

Kapilevich, Boris Y., Stuart W. Harmer, and Nicholas J. Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2017.

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7

Kapilevich, Boris Y., Stuart W. Harmer, and Nicholas J. Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2017.

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8

Harmer, Stuart William, Boris Kapilevich, and Nicholas Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2015.

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9

Kapilevich, Boris Y., Stuart W. Harmer, and Nicholas J. Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2017.

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10

Kapilevich, Boris Y., Stuart W. Harmer, and Nicholas J. Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2017.

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11

Kapilevich, Boris Y., Stuart W. Harmer, and Nicholas J. Bowring. Non-Imaging Microwave and Millimetre-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2017.

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12

Non-Imaging Millimeter and Microwave-Wave Sensors for Concealed Object Detection. Taylor & Francis Group, 2014.

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13

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1269-3.

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14

Woźniak, Marcin. Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments. Mdpi AG, 2021.

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15

Ruxton, Graeme D., William L. Allen, Thomas N. Sherratt, and Michael P. Speed. Disruptive camouflage. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199688678.003.0003.

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Disruptive camouflage involves using coloration to hinder detection or recognition of an object’s outline, or other conspicuous features of its body. This involves using coloration to create ‘false’ edges that make the ‘true’ interior and exterior edges used by visual predators to find and recognize prey less apparent. Disruptive camouflage can therefore be thought of as a manipulation of the signal-to-noise ratio that depends on features of the perceptual processing of receivers. This chapter discusses the multiple mechanisms via which disruptive camouflage is thought to influence visual proc

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16

Wich, Serge A., and Lian Pin Koh. Conservation Drones. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.001.0001.

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In this book, we introduce the use of drones for wildlife conservation. We provide a broad overview of when drone technology can be useful for wildlife conservation before going into the different types of drones that are available and the basic configuration of such systems. After this we discuss the various types of sensors that are being used to obtain data and the various applications for those sensors by us and others. We discuss the various applications of sensors and discuss research that we and others have conducted with those. The usage of drones for surveillance is discussed as well

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