Results 291 to 300 of about 377,518 (351)
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2006
This chapter describes a category of data-compression algorithms capable of preserving the scientific quality of remote-sensing data, yet allowing a considerable reduction of the transmission bandwidth. Lossless compression applied to remote-sensing images guarantees only a moderate reduction of the data volume, because of the intrinsic noisiness of ...
Bruno Aiazzi +2 more
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This chapter describes a category of data-compression algorithms capable of preserving the scientific quality of remote-sensing data, yet allowing a considerable reduction of the transmission bandwidth. Lossless compression applied to remote-sensing images guarantees only a moderate reduction of the data volume, because of the intrinsic noisiness of ...
Bruno Aiazzi +2 more
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Imaging Spectrometry for Earth Remote Sensing
Science, 1985Imaging spectrometry, a new technique for the remote sensing of the earth, is now technically feasible from aircraft and spacecraft. The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum.
A F, Goetz +3 more
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2015
Remote sensing (RS) images are one of the main spatial data sources. The variability of image data types and their complex relationships are the main difficulties that face SDM. This chapter covers a combination of inductive learning and Bayesian classification to classify RS images, the use of rough sets to describe and classify images and extract ...
Deren Li, Shuliang Wang, Deyi Li
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Remote sensing (RS) images are one of the main spatial data sources. The variability of image data types and their complex relationships are the main difficulties that face SDM. This chapter covers a combination of inductive learning and Bayesian classification to classify RS images, the use of rough sets to describe and classify images and extract ...
Deren Li, Shuliang Wang, Deyi Li
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Hyperspectral Imaging Remote Sensing
2016A 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 +2 more
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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 +3 more
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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 +3 more
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Hyperclassification of remote sensing images
Journal of Information and Optimization Sciences, 1996The 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.
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Remote-sensing image analysis and geostatistics
International Journal of Remote Sensing, 2012The 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.
2009Image 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, 2015Abstract 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
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Remote Sensing Image Mosaic Algorithm
Key Engineering Materials, 2012In 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
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