Results 51 to 60 of about 16,201 (241)
A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Remote Sensing, 2022 Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially stretched by strong changes so that subtle changes are ignored.
Qiuxia Li +12 more
openaire +2 more sources
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering [PDF]
, 2016 Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data.
Najafi, Mohammad +3 more
core +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Wetland is of significant ecological value, which is very important and challenging for large-scale mapping. Sentinel-1 can continuously record wetland changes with its all-day, all-weather working capability.
Hui Yang +3 more
doaj +1 more source
Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network
Remote Sensing, 2022 Synthetic Aperture Radar (SAR) is the primary equipment used to detect oil slicks on the ocean’s surface. On SAR images, oil spill regions, as well as other places impacted by atmospheric and oceanic phenomena such as rain cells, upwellings, and internal
Xiaojian Liu +3 more
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 +3 more
core +3 more sources
Video Segmentation with Superpixels [PDF]
, 2013 Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation.
Galasso F, Cipolla R, Schiele B
openaire +3 more sources
ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 . We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method is based on a segmentation energy defined over all images at the same time, which
B. Fulkerson +9 more
core +3 more sources
Research on Dynamic Graph Target Tracking Method Fusing the Color Local Entropy
ITM Web of Conferences, 2018 Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which is based on the superpixels and dynamic graph matching. Firstly, to make the superpixels edge
Zhang Junchang +3 more
doaj +1 more source
Saliency-guided Adaptive Seeding for Supervoxel Segmentation
, 2017 We propose a new saliency-guided method for generating supervoxels in 3D space. Rather than using an evenly distributed spatial seeding procedure, our method uses visual saliency to guide the process of supervoxel generation.
Frintrop, Simone +3 more
core +1 more source
Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels.
Yulei Tan +5 more
doaj +1 more source