Results 31 to 40 of about 840 (174)
The Generalized Statistical Complexity of PolSAR Data
CoRR, 2014 This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution.
Alejandro César Frery +2 more
openaire +4 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Convolutional neural network (CNN) has achieved remarkable success in polarimetric synthetic aperture radar (PolSAR) image classification. However, the PolSAR image classification is a pixelwise prediction assignment.
Feng Zhao +3 more
doaj +1 more source
Remote Sensing, 2022 The radiometric terrain correction (RTC) is an essential processing step for supervised classification applications of polarimetric synthetic aperture radar (PolSAR) over mountainous areas.
Lei Zhao +4 more
doaj +1 more source
Adaptive Speckle Filter for Multi-Temporal PolSAR Image with Multi-Dimensional Information Fusion
Remote Sensing, 2023 Polarimetric synthetic aperture radar (PolSAR) is an important sensor for earth observation. Multi-temporal PolSAR images obtained by successive observations of the region of interest contain rich polarimetric–temporal–spatial information of the land ...
Haoliang Li +4 more
doaj +1 more source
Turbo Speckle Filtering applied to PolSAR Data [PDF]
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008 A new approach for speckle reduction in polarimetric synthetic aperture radar (PolSAR) images based on the turbo iterative principle is proposed. The turbo iterative algorithm shows high performances due to the propagation of the information between two complementary filters.
Gregory Farage +3 more
openaire +1 more source
PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in various PolSAR image application. And many pixel-wise, region-based classification methods have been proposed for PolSAR images.
Xinzheng Zhang +4 more
doaj +1 more source
IEEE Access, 2019 Unsupervised polarimetric synthetic aperture radar (PolSAR) image classification is an important task in PolSAR automatic image analysis and interpretation.
Huanxin Zou +3 more
doaj +1 more source
Classification of Polarimetric SAR Images Based on the Riemannian Manifold
Leida xuebao, 2017 Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen +3 more
doaj +1 more source
SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES BASED ON HEXAGON INITIALIZATION AND EDGE REFINEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Superpixel segmentation for PolSAR images can heavily decrease the number of primitives for subsequent interpretation while reducing the impact of speckle noise.
M. Li +5 more
doaj +1 more source
International Journal of Digital Earth, 2019 Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al.
Rogério G. Negri +4 more
doaj +1 more source