SAR Image Despeckling by Using Nonlocal Sparse Coding Model
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0704-5
Abstract: Based on the key observation that the coding residuals between the recovered sparse codes of the noisy SAR image and those of the clean SAR image are sparse, we propose a sparse representation-based despeckling algorithm… read more here.
Keywords: image; using nonlocal; sparse; image despeckling ... See more keywords
SAR image edge detection via sparse representation
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2505-y
Abstract: In this paper, we propose a new synthetic aperture radar (SAR) image detection algorithm based on the de-noising algorithm via the sparse representation and a new morphology edge detector. Firstly, we apply the Shearlet transform… read more here.
Keywords: sparse representation; detection; sar image; edge ... See more keywords
Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.09.016
Abstract: Existing techniques of 3-D reconstruction of buildings from SAR images are mostly based on multibaseline SAR interferometry, such as PSI and SAR tomography (TomoSAR). However, these techniques require tens of images for a reliable reconstruction,… read more here.
Keywords: image; gis; registration; building footprints ... See more keywords
WITHDRAWN: SAR image classification with a sample reusable domain adaptation algorithm based on SVM classifier
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2017.07.032
Abstract: This article has been withdrawn at the request of the editor and publisher. The publisher regrets that an error occurred which led to the premature publication of this paper. This error bears no reflection on… read more here.
Keywords: classification sample; withdrawn sar; withdrawn; image classification ... See more keywords
Multithresholding techniques in SAR image classification
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2021.100540
Abstract: Abstract Beyond bilevel segmentation, multithresholding (MT) is a powerful technique that is seldom considered in image analysis. In active imaging techniques, however, MT appears as a significant alternative due to its obliviousness to the inherent… read more here.
Keywords: multithresholding techniques; techniques sar; image classification; image ... See more keywords
Entropy-score-based feature selection for moment-based SAR image classification
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.4419
Abstract: Entropy score is defined to be a metric indicating the class separation, which is then used in feature selection process to improve the moment-based classification performance of synthetic aperture radar (SAR) images. Feature extraction is… read more here.
Keywords: moment; feature selection; feature; sar image ... See more keywords
Sparse coding of 2D-slice Zernike moments for SAR ATR
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2016.1266107
Abstract: ABSTRACT In this article, a new type of feature, named two-dimensional (2D)-slice Zernike moments, is proposed for synthetic aperture radar (SAR) automatic target recognition (ATR). Target features play an extremely important role in the ATR… read more here.
Keywords: zernike moments; slice zernike; sar image; target ... See more keywords
Perceptual hashing for SAR image segmentation
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1552812
Abstract: ABSTRACT Image segmentation is an important step in the implementation of the interpretation of synthetic aperture radar (SAR) image due to speckle. This article proposes a SAR image segmentation method based on perceptual hashing. The… read more here.
Keywords: image; hashing sar; segmentation; sar image ... See more keywords
SAR image despeckling with a multilayer perceptron neural network
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2018.1447032
Abstract: ABSTRACT Speckle noise in synthetic-aperture radar (SAR) images severely hinders remote sensing applications; therefore, the appropriate removal of speckle noise is crucial. This paper elaborates on the multilayer perceptron (MLP) neural-network model for SAR image… read more here.
Keywords: image; network; multilayer perceptron; image despeckling ... See more keywords
Effective SAR image segmentation and classification of crop areas using MRG and CDNN techniques
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2020.1727777
Abstract: ABSTRACT Crop classification is a significant requirement to estimate crop area, structure, and spatial distribution, as well as provide important input parameters for crop yield models. Different techniques were considered in this system and providing… read more here.
Keywords: classification; cdnn; crop areas; crop ... See more keywords
Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2905847
Abstract: The segmentation of synthetic aperture radar (SAR) water-land images is a very difficult task not only because of strong multiplicative noise but also due to the blurred boundary, irregular shape, and together with diminished contrast.… read more here.
Keywords: sar; sar image; water land; segmentation ... See more keywords