This paper introduces a wavelet transform speckle reduction algorithm for Synthetic Aperture Radar (SAR) imagery based on edge detection. Existing speckle algorithm can efficiently reduce the speckle effect but unfortunately also, to some degree, smear edges and blur images. In this paper, the ...
Boundary detection in speckle images Optimal statistical procedures are formulated for detecting object boundaries in speckle noise imagery. Although speckle noise is found in many application... Alan C. Bovik,DM Jr - IEEE International Conference on Acoustics 被引量: 28发表: 1985年 A non-Newtonian...
1713 DETECTING GAN-GENERATED IMAGERY USING SATURATION CUES 2508 Detecting Generated Image Based on Coupled Network with Two-Step Pairwise Learning 2210 DETECTION AND COUNTING OF SMALL CIRCULAR OBJECTS FOR APPLICATIONS IN THE MANUFACTURING INDUSTRY 2463 DETECTION AND SYNCHRONIZATION OF VIDEO SEQUENCES FOR ...
However, its application in constructing a convolution mask can be devastating if not carefully constructed. In this paper, we show another effective way of constructing a fractional-based convolution mask that is able to find edges in detail quite significantly. The resulting mask can trap both ...
Detecting Masked Faces in the Wild With LLE-CNNs Shiming Ge, Jia Li, Qiting Ye, Zhao Luo A Domain Based Approach to Social Relation Recognition Qianru Sun, Bernt Schiele, Mario Fritz Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition Junwu Weng, Chao...
On detecting edges in speckle imagery. IEEE Trans. Acoust. Speech Signal Process. 1988, 36, 1618–1627. [Google Scholar] [CrossRef] Touzi, R.; Lopes, A.; Bousquet, P. A statistical and geometrical edge detector for SAR images. IEEE Trans. Geosci. Remote Sens. 1988, 26, 764–773. ...
With the development of deep learning in the field of computer vision, convolutional neural network models and attention mechanisms have been widely applied in SAR image target recognition. The improvement of convolutional neural network attention in existing SAR image target recognition focuses on spatial...
Edge-Preserving Unscented Kalman Filter for Speckle Reduction Sai Subrahmanyam, Rajagopalan Ambasamudram, Aravind Rangarajan, Gerhard Rigoll Robust and Precise Eye Detection Based on Locally Selective Projection Ying Zheng, Zengfu Wang Reducing Noise and Redundancy in Registered Range Data for Planar Surface...
This paper introduces a wavelet transform speckle reduction algorithm for Synthetic Aperture Radar (SAR) imagery based on edge detection. Existing speckle algorithm can efficiently reduce the speckle effect but unfortunately also, to some degree, smear edges and blur images. In this paper, the ...
IMAGERYThis paper presents a novel geodesic active contour (GAC) model based on an edge detector for rapid detection of water bodies from spaceborne synthetic aperture radar (SAR) imagery with high speckle noise. The original edge indicator function based on gradients is replaced by an edge ...