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Diffusion Models for Remote Sensing Imagery Semantic Segmentation

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Denoising 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, 2002
We 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
openaire   +1 more source

On-board detection and matching of remotely sensing imagery

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
To 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
openaire   +1 more source

Interpolation of remote sensing imagery

SPIE Proceedings, 2005
Interpolation 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 ...
openaire   +1 more source

Radiometric normalization of optical remote sensing imagery

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
Sensor 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, 1984
Abstract 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.
openaire   +1 more source

FPGA-based remotely sensed imagery denoising

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
This 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
openaire   +1 more source

Map-guided interpretation of remotely-sensed imagery

Proceedings of the May 19-22, 1980, national computer conference on - AFIPS '80, 1980
Aerial 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
openaire   +1 more source

An expert system for selecting remote sensing imagery

IEEE International Geoscience and Remote Sensing Symposium, 2003
This 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
openaire   +1 more source

Object synthesis in remote sensing imagery understanding

International Journal of Imaging Systems and Technology, 1991
AbstractMatching 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
openaire   +1 more source

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