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Active learning for classification of remote sensing images
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009This paper presents an analysis of active learning techniques for the classification of remote sensing images and proposes a novel active learning method based on support vector machines (SVMs). The proposed method exploits a query function for the inclusion of batches of unlabeled samples in the training set, which is based on the evaluation of two ...
Lorenzo Bruzzone, Claudio Persello
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Multichannel imaging in remote sensing
SPIE Proceedings, 2009Advanced Coherent Technologies, LLC has demonstrated the use of multi-channel imaging systems in a variety of applications. These systems are composed of multiple cameras or 'channels', each of which can be coupled with spectral filters, polarization analyzers, or unique optics (e.g. for field of view (FOV) or aperture adjustments).
Jon Schoonmaker +4 more
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Remote Sensing and Image Analysis in Plant Pathology
Annual Review of Phytopathology, 1995ABSTRACf Thi s paper reviews various applications of remote sensing and image anal ysis in plant path ology. It describes technical methods and their possibilities, but also emphasizes the biological prerequisites and restrictions of prac tical appli cations.
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Insightful Visualization of Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, 2023Safa Amir Najim, Basaeir Y. Ahmed
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Image processing for remote sensing
Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1983Abstract In this paper a number of approaches to multispectral image segmentation and classification are considered. The methods range from the simple Bayesian decision rule for classification of image data on pixel-by-pixel basis, to sophisticated algorithms using contextual information.
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Visual Grounding in Remote Sensing Images
Proceedings of the 30th ACM International Conference on Multimedia, 2022Yuxi Sun 0002 +5 more
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Image and Signal Processing for Remote Sensing XX
2014The proceedings contain 45 papers. The topics discussed include: automatic extraction and change monitoring of fire disaster event based on high-resolution nighttime light remote sensing images; a comparison on the use of different satellite multispectral data for the prediction of aboveground biomass; infrastructure monitoring using SAR and ...
L. Bruzzone, F. Bovolo, E. Santi
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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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Imaging sensors for remote sensing
Remote Sensing Reviews, 1996Abstract 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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