Results 11 to 20 of about 112,589 (145)
Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification
Remote Sensing, 2017 Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task.
Shutao Li, Shuzhen Zhang, Wei Fu
exaly +4 more sources
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation
Remote Sensing, 2020 Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Xiao Zhang, Haoyang Yu, Meiping Song
exaly +4 more sources
Adaptive Multiscale Superpixel Embedding Convolutional Neural Network for Land Use Classification [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Currently, a large number of remote sensing images with different resolutions are available for Earth observation and land monitoring, which are inevitably demanding intelligent analysis techniques for accurately identifying and classifying land use (LU).
Huaizhong Zhang +7 more
doaj +5 more sources
Superpixel-based spatial amplitude and phase modulation using a digital micromirror device [PDF]
, 2014 We present a superpixel method for full spatial phase and amplitude control of a light beam using a digital micromirror device (DMD) combined with a spatial filter.
SA Goorden (21996356) +2 more
core +6 more sources
Dynamic PET Image Reconstruction Incorporating Multiscale Superpixel Clusters
IEEE Access, 2021 Dynamic positron emission tomography (PET) image reconstruction is challenging due to the low-count statistics of individual frames. This study proposes a novel reconstruction framework aiming to enhance the quantitative accuracy of individual dynamic ...
Shuangliang Cao +5 more
doaj +1 more source
Polarimetric SAR ship detection based on superpixel and sparse reconstruction saliency
工程科学学报, 2023 Polarimetric SAR ship detection is an important application of the polarimetric SAR system. Existing polarimetric SAR ship detection methods are plagued by erroneous detection of strong clutter and missed detection of small targets in multiscale ...
Jiahao LUO, Junjun YIN, Jian YANG
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming remote sensing applications. However, for artificial-intelligence-guided tasks, such as land cover mapping and ground-object mapping, most deep-learning-based architectures
Tanmay Kumar Behera +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The convolutional neural network (CNN) has a poor performance in nonuniform and edge regions due to the limitation of fixed receptive field. At the same time, feature stacking of input data can bring burden and overfitting to the network.
Ronghua Shang +5 more
doaj +1 more source
Semantic Segmentation of Remote Sensing Imagery Based on Multiscale Deformable CNN and DenseCRF
Remote Sensing, 2023 The semantic segmentation of remote sensing images is a significant research direction in digital image processing. The complex background environment, irregular size and shape of objects, and similar appearance of different categories of remote sensing ...
Xiang Cheng, Hong Lei
doaj +1 more source
Tumor localization in tissue microarrays using rotation invariant superpixel pyramids [PDF]
, 2015 Tumor localization is an important component of histopathology image analysis; it has yet to be reliably automated for breast cancer histopathology. This paper investigates the use of superpixel classification to localize tumor regions.
Akbar, Shazia +7 more
core +1 more source