Results 141 to 150 of about 352,126 (198)

Hyperspectral Imaging Remote Sensing

2016
A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms.
Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley   +2 more
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Remote Sensing Image Fusion

2015
Nowadays, approximately four TB of image data are collected daily by instruments mounted on satellite platforms, not to mention the data produced by a myriad of specific campaigns carried out through airborne instruments. Very high-resolution (VHR) multispectral scanners, IKONOS, QuickBird, GeoEye, WorldView, Pl´eiades, just to mention the most popular,
Alparone L, Aiazzi B, Baronti S, Garzelli A   +3 more
openaire   +5 more sources

Hyperclassification of remote sensing images

Journal of Information and Optimization Sciences, 1996
The same article appeared in J. Inf. Optimization Sci. 17, No. 2, 255-265 (1996). For a review see the paper above.
INNAMORATI, STEFANO, PERONI P.
openaire   +3 more sources

Remote-sensing image analysis and geostatistics

International Journal of Remote Sensing, 2012
The random function theory forms the basis of geostatistics and allows modelling of the uncertainty associated with spatial estimation and simulation. Remote sensing involves gathering information about an object by measuring signals composed of radiation, particles and fields emanating from an object with a sensor that is not in direct contact with it.
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Matching remote sensing images.

2009
Image analysis plays a crucial role in many computer vision applications in which images of the same scene with different geometrical orientations need to be compared for further processing. This thesis describes the design and implementation of a model-based vision system for the recognition of aerial images.
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Fusion of Remote Sensing Images

Journal of the Geological Society of India, 2015
Abstract Recently, there has been greater interest in the Hyper spectral (HS) sensing technology as the information that resides in the HS spectral domain provides significant advantages over the traditional Multi spectral images. The inherent tradeoff between the spectral and spatial resolutions has resulted in the development of remote
V. R. S. Mani, S. Arivazhagan
openaire   +1 more source

Remote Sensing Image Mosaic Algorithm

Key Engineering Materials, 2012
In the field of remote sensing, the acquirement of higher resolution of remote sensing images has become a hot spot issue with widely use of high resolution of remote sensing images. This paper focus on the characteristics of high resolution remote sensing images, on the basis of fully considerate of the correlation between geometric features and image
Yi Ding Wang, Shuai Qin
openaire   +1 more source

Polarization imaging for remote sensing

2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 2017
We initially present a liquid crystal (LC) based creation procedure for full Stokes polarization image sensors. The proposed method enables an arrangement of both micron scale LC polarization rotators and λ/4 retarders. These can be integrated over a CMOS polarization image sensor. Also, the DoFP polarization image sensors seize polarization properties
Ashfaq Ahmed, Xiaojin Zhao, Amine Bermak
openaire   +1 more source

Remote-Sensing Images

2023
Anil Kumar, Priyadarshi Upadhyay, Uttara Singh   +2 more
openaire   +1 more source

Imaging sensors for remote sensing

Remote Sensing Reviews, 1996
Abstract The remote sensing system requires a sensor which is located on a suitable platform to collect the radiation. Sensors used for remote sensing can be broadly classified as those operating in the Optical‐Infrared (OIR) region and those operating in the microwave region, because the technology for developing microwave sensors is quite different ...
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