Results 261 to 270 of about 53,200 (313)
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Diffusion Models for Remote Sensing Imagery Semantic Segmentation
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Denoising Diffusion Probabilistic Models have exhibited impressive performance for generative modelling of images. This paper aims to explore the potential of diffusion models for semantic segmentation tasks in the context of remote sensing. The major challenge of employing these models for semantic segmentation tasks is the generative nature of the ...
Christian Ayala +3 more
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Content based retrieval for remotely sensed imagery
4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of Gabor filters is used to extract regions of homogeneous texture. These filter responses are utilized in a multiscale clustering technique to yield the final segmentation. Novel area morphological
Badrinarayan Raghunathan, Scott T. Acton
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On-board detection and matching of remotely sensing imagery
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017To implement on-board detection and matching of feature points on satellite, a FPGA-based hardware architecture of prototype was proposed in this paper. The SURF detector and the BRIEF descriptor are implemented on the selected FPGA (Xilinx K7 XC7K325T-1ffg900).
Jingjin Huang +2 more
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Interpolation of remote sensing imagery
SPIE Proceedings, 2005Interpolation of remote sensing imagery is a ubiquitous task, required for myriad purposes such as registration of multiple frames, correction of geometric distortions, and mitigation of platform vibration distortions in imagery. Interpolation is also a classically systemic task, in that interpolator performance in pixel placement, anti-aliasing, and ...
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Radiometric normalization of optical remote sensing imagery
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003Sensor viewing angle effects, which are caused mainly by an atmosphere and a sun-sensor-target geometry, are observed quite often in images acquired by optical remote sensing sensors, especially airborne sensors with a wide field of view. We propose an image-based empirical radiometric normalization method, which is based on a linear regression applied
Palubinskas, Gintautas +2 more
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Equidensitometry and remote sensing imagery
International Journal of Remote Sensing, 1984Abstract The technique of equidensitometry is described, and an example of its use with a NOAA 2 thermal infrared image to extract density contour lines is given.
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FPGA-based remotely sensed imagery denoising
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015This paper presents a FPGA (Field Programmable Gate Array)-based remotely sensed imagery denoising method, named FPGA-based median filtering. The proposed method is capable of processing large volume data since it takes full advantages of FPGA hardware and abundant logic units.
Guoqing Zhou 0001 +7 more
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Map-guided interpretation of remotely-sensed imagery
Proceedings of the May 19-22, 1980, national computer conference on - AFIPS '80, 1980Aerial and satellite imagery provide an economical means of gathering large amounts of data on the earth's resources and environment. However, except in the area of survey tasks such as crop inventories and land use that can be performed with multispectral analysis, there are few economically feasible techniques for automatically extracting the useful ...
Jay M. Tenenbaum +4 more
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An expert system for selecting remote sensing imagery
IEEE International Geoscience and Remote Sensing Symposium, 2003This paper describes the implementation of an intelligent tutoring system for image selection in the context of updating a forest map. It is part of the "Systeme Intelligent de Traitement d'Image" developed at the Universiti de Sherbrooke.
Kami Rousseau +3 more
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Object synthesis in remote sensing imagery understanding
International Journal of Imaging Systems and Technology, 1991AbstractMatching as a general decision‐making paradigm in computer vision and image understanding is considered. The object‐growing technique as an “analysis by synthesis” idea elaboration is developed. The technique applied to “geological objects” extraction and identification is described.
D. A. Denisov, M. V. Plaksin
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