SAR image
Analysis on the Azimuth Shift of a Moving Target in SAR Image
... high-resolution image of an interested scene in all times and all weather conditions [1], it has been widely used in both civilian and military ...in SAR image if their echoes are processed in the ...
14
Speckle Noise Reduction in SAR Image: A Survey
... for image denoising and to a compressed sensing problem that arises in magnetic resonance ...complex SAR image using non-quadratic regularization. They use an image model, a gradient, and a ...
5
Ship Detection in SAR Image Based on Information Geometry Method
... of SAR provides an effective way to monitor ships, which encompass traffic surveillance, maritime security, fishing activity control, and even island dispute resolving ...of SAR images, it becomes more and more ...
10
Sar Image Classification For Land Cover Patterns
... frequencies. SAR image helps in identifying nature of terrain or building areas, types of agriculture crops ...etc. SAR image in CEOS (Committee on Earth Observing Satellite) format is ...this ...
5
Target-Aided SAR Image Intelligent Compression
... Target-aided SAR image intelligent compression system is shown in ...resolution SAR image is first decomposed into 22 subbands using a 2-D discrete wavelet transform ...
18
Pixel Based Sar Image Classification using Random Forest Algorithm
... of SAR image (microwave data) ...an image, and temporal class dependencies between different images of the same region, in the case of multi-temporal ...of SAR (Sentinel 1A) imagery and ...
6
Locally Adaptive De speckling of SAR Image using GCV Thresholding in Directionlet Domain
... 6 shows a simulated SAR image, its noisy version and despeckled images obtained by wavelet and directionlet based schemes.. The simulated image contains three regions- viz.[r] ...
7
SAR Image Target Classification: A Feature Fusion Approach
... on SAR image target classification utilizing feature fusion ...test SAR image is processed by a SAR-BM3D filter to remove speckle ...the image is extracted using context aware ...
5
Learning from label proportions for SAR image classification
... (SAR) image classification or land use/land cover (LULC) mapping plays an important role in many and diverse SAR applications ...for SAR image ...(HR) SAR data, such as ...
12
Target detection in complex scene of SAR image based on existence probability
... accuracy of the GIS information. These data often suffer from systematic or random positional errors; hence, the region axes have to be realigned to the image [11]. Wang et al. used the Markov random field (MRF) ...
10
Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion
... the image to obtain the detection result. However, if a target in the SAR image has similar intensity level as its surroundings, CFAR leads to high false-alarm ...a SAR image saliency ...
17
SAR image segmentation using MSER and improved spectral clustering
... for SAR image segmentation in this ...input image more suitable for later ...the image from a pixel-based to a region-based model, and the disconti- nuity characteristics of the image ...
9
SAR image segmentation with GMMs
... This paper proposes a new approach for Synthetic Aperture Radar (SAR) image segmentation. Segmenting SAR images can be challenging because of the blurry edges and the high speckle. The segmentation ...
5
A Survey on various Techniques Feature and Knowledge Extraction of SAR Image
... file, image, video, etc. Out of those image plays an important role in different field such as remote sensing, social media, ...the image for different studies required proper pre-processing ...of ...
6
Comparative approach of DCT and DWT for SAR Image Fusion
... 108 Synthetic Aperture Radar (SAR) technology has provided terrain structural information to geologists for mineral exploration, oil spill boundaries on water to environmentalists, sea state and ice hazard maps to ...
5
Edge Detection in Polarimetric SAR Image based on Bandelet Transform
... PolSAR images are primarily based on Roy’s largest eigen value method or Wishart likelihood-ratio test (Wishart-LRT) [9]. Because of the usage of windows, there is a tradeoff between edge locating accuracy and speckle ...
6
Deep Transfer Learning for Few-shot SAR Image Classification
... Since we have access to sufficient labeled source data, training a parametric classifier for the source domain is a straightforward supervised learning problem.. Usually, we solve for an[r] ...
17
Analysis of SAR Images using New Image Classification Methods
... Abstract: Oil spills are carrying out by the marine echo system and these are originated from scientific and political concern since they are seriously affecting the coastal echo system and fragile marine. Oil spills can ...
5
A New Visual Attention Model Designed for SAR
... Keywords: SAR image; Visual attention model; Texture saliency; Feature map; Focus of attention.. 28 29.[r] ...
17
An image formation algorithm for missile-borne circular-scanning SAR
... Circular-scanning SAR is different from these three modes, with its antenna beam rotating continuously with respect to the vertical axis ...provide SAR image of both sides of the flight path, and can ...
15