Results 291 to 300 of about 300,366 (322)

Optical Remote Sensing Images Feature Extraction of Forest Regions

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
The forest region saliency extraction technology based on optical remote sensing image plays an important role in forest fire risk monitoring and forest area protection in the process of urbanization. In this paper, the large-area forest area in the optical remote sensing image is highlighted in the feature map, and the salient map is further obtained ...
HaiLin Du, Yin Zhuang
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Entire Chains Simulation System for Optical Remote Sensing Imaging

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
The optical remote sensing imaging simulation plays vital roles in the improvement of imaging system design and the evaluation of image processing algorithms. By combing quantitative radiation and computer graphics, an entire chains simulation system is designed for optical remote sensing. Analyzing the imaging process, physical models for entire image
Mengyuan Zhao, Xiaoshan Ma, Xin Meng, Zhen Yang, Xiaodong Peng   +4 more
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Remote sensing of stress using electro-optics imaging technique

SPIE Proceedings, 2009
Emotional or physical stresses induce a surge of adrenaline in the blood stream under the command of the sympathetic nerve system, which, cannot be suppressed by training. The onset of this alleviated level of adrenaline triggers a number of physiological chain reactions in the body, such as dilation of pupil and an increased feed of blood to muscles
Tong Chen, Peter Yuen, Kan Hong, Aristeidis Tsitiridis, Firmin Kam, James Jackman, David James, Mark Richardson, William Oxford, Jonathan Piper, Francis Thomas, Stafford Lightman   +11 more
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Multiscale and Multidimensional Weighted Network for Salient Object Detection in Optical Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Recent advancements have significantly benefited in the area of salient object detection in optical remote sensing images (ORSI-SOD). Given the varying spatial resolutions and complex scenes characteristic of optical remote sensing images (ORSIs ...
Lamei Di, Bin Zhang, Yiming Wang
semanticscholar   +1 more source

Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Current state-of-the-art methods for salient object detection in optical remote sensing images (RSI-SOD) primarily relies on individual image context to detect salient objects.
Kan Huang, Nannan Li, Jiarong Huang, Chunwei Tian   +3 more
semanticscholar   +1 more source

Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion

, 2020
Cloud contamination is an inevitable problem in optical remote sensing images. Unlike thick clouds, thin clouds do not completely block out background which makes it possible to restore background information.
Jun Li, Zhaocong Wu, Zhongwen Hu, Jiaqi Zhang, Mingliang Li, L. Mo, M. Molinier   +6 more
semanticscholar   +1 more source

Optimized-SSIM Based Quantization in Optical Remote Sensing Image Compression

2011 Sixth International Conference on Image and Graphics, 2011
High-rate compression usually causes serious distortion of texture and edges which play important roles in optical remote sensing image application. In order to reduce obvious structural distortion, in this paper, we analyze the correlation of SSIM (Structural Similarity) component functions with MOS (Mean Opinion Score) on an optical remote sensing ...
Kai Yang, Hongxu Jiang
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Heliport detection in high-resolution optical remote sensing images

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018
Automated image exploitation algorithms are crucial in order to analyze the content of high-resolution remote sensing images. In this work, a fully automated heliport detection algorithm is presented. The algorithm has been designed to detect H shaped, lightly colored heliports.
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A knowledge-based segmentation technology for remote sensing optical images

SPIE Proceedings, 2007
In this paper, we propose a whole scheme of remote sensing image segmentation process, from fast detection to accurate edge location. As we know, more structure information is acquired in high resolution remote sensing images. However, traditional image processing algorithms will produce meaningless results without priori knowledge. We aim at solving
Xiao Yuan, Hongwen Yang
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Remote sensing of sea surface features by optical RTI images

SPIE Proceedings, 2013
It is known that development of new remote sensing technique for investigation of sea surface features is an important oceanographic problem. This paper is focused on a new method of analysis of optical range – time – intensity images (RTI images) of sea surface [1-3].
V. I. Titov, V. V. Bakhanov, A. G. Luchinin, I. A. Repina, E. M. Zuikova   +4 more
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