Results 1 to 10 of about 3,600 (211)
Remote Sensing, 2019 Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong, Fei Tong, Yun Zhang
exaly +4 more sources
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels
Remote Sensing, 2020 In recent years, regional algorithms have shown great potential in the field of synthetic aperture radar (SAR) image segmentation. However, SAR images have a variety of landforms and a landform with complex texture is difficult to be divided as a whole ...
Ronghua Shang, Pei Peng, Fanhua Shang
exaly +4 more sources
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification
Remote Sensing, 2020 Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classification.
Yuwei Guo, Rong Qu, Licheng Jiao
exaly +5 more sources
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
Appu Shaji +2 more
exaly +4 more sources
Fuzzy Superpixels for Polarimetric SAR Images Classification [PDF]
IEEE Transactions on Fuzzy Systems, 2018 Superpixels technique has drawn much attention in computer vision applications. Each superpixels algorithm has its own advantages. Selecting a more appropriate superpixels algorithm for a specific application can improve the performance of the application.
Yuwei Guo, Licheng Jiao, Shuang Wang
exaly +2 more sources
An evaluation of the compactness of superpixels
Pattern Recognition Letters, 2022 S.71-80Superpixel segmentation is the oversegmentation of an image into a connected set of homogeneous regions. Depending on the algorithm, superpixels have specific properties.
Fischer, M. +2 more
core +3 more sources
Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels
Remote Sensing, 2019 We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak +2 more
doaj +2 more sources
Dynamic spectral residual superpixels [PDF]
Pattern Recognition, 2021 We consider the problem of segmenting an image into superpixels in the context of $k$-means clustering, in which we wish to decompose an image into local, homogeneous regions corresponding to the underlying objects. Our novel approach builds upon the widely used Simple Linear Iterative Clustering (SLIC), and incorporate a measure of objects' structure ...
Angelica I Aviles-Rivero +2 more
exaly +3 more sources
Superpixels: An evaluation of the state-of-the-art [PDF]
Computer Vision and Image Understanding, 2018 Superpixels group perceptually similar pixels to create visually meaningful entities while heavily reducing the number of primitives for subsequent processing steps. As of these properties, superpixel algorithms have received much attention since their naming in 2003. By today, publicly available superpixel algorithms have turned into standard tools in
Alexander Hermans, Bastian Leibe
exaly +3 more sources
Superpixels optimized by color and shape [PDF]
, 2018 Image over-segmentation is formalized as the approximation problem when a large image is segmented into a small number of connected superpixels with best fitting colors.
Harvey, D +3 more
core +2 more sources