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A New Remote Sensing Image Dataset for Large-Scale Remote Sensing Detection
2019 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2019With recent developments in sensor technology, remote sensing is playing an increasingly important role in military and civilian life such as town planning, mapping, resource and crop monitoring, and disaster prevention. These applications are based on remote sensing images, which ideally comprehensively reflect the information needed.
Dongyang Xie, Jun Cheng 0002, Dapeng Tao
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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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UAV Remote Sensing Image Stitching
2019The majority of image stitching (include UAV remote sensing images stitching) models are homography matrix transformation function, which could effectively simulate the rigid transformation of 2D images in 3D coordinate system. In order to prevent the accumulation of alignment errors (drift) and the projection distortion in the multi-image stitching ...
Hui Wu, Jun Chen
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Remote sensing study based on IRSA remote sensing image processing system
IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004The IRSA Remote Sensing Image Processing System is multi-functional software used for satellite image processing. It consists of over ten parts of the routine and typical used modules in Remote Sensing Image Processing project, such as viewer & file import/export, basic processing, image restoration.
Ling Peng +3 more
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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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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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Insightful Visualization of Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, 2023Safa Amir Najim, Basaeir Y. Ahmed
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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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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
openaire +3 more sources