Results 21 to 30 of about 118,760 (177)

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

Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images

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, Sambit Bakshi, Michele Nappi, Pankaj Kumar Sa   +3 more
doaj   +1 more source

Artificial Intelligence-Based Approaches for Brain Tumor Segmentation in MRI: A Review. [PDF]

NMR Biomed
Manually segmenting brain tumors in magnetic resonance imaging is a time‐consuming task that requires years of professional experience and clinical expertise. We proposed a study, which contains a comprehensive review of the brain tumor segmentation techniques. It selects the effective approaches to better understand the AI applications for brain tumor
Bibi K, Nawaz M, Khan S, Daud M, Masood A, Abdelgawad MA, Abbasi SMT, Rizwan, Khan A, Yuan W.   +9 more
europepmc   +2 more sources

Reg-Superpixel Guided Convolutional Neural Network of PolSAR Image Classification Based on Feature Selection and Receptive Field Reconstruction

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, Keyao Zhu, Jie Feng, Chao Wang, Licheng Jiao, Songhua Xu   +5 more
doaj   +1 more source

Image classification using graph neural network and multiscale wavelet superpixels

Pattern Recognition Letters, 2023
Prior studies using graph neural networks (GNNs) for image classification have focused on graphs generated from a regular grid of pixels or similar-sized superpixels. In the latter, a single target number of superpixels is defined for an entire dataset irrespective of differences across images and their intrinsic multiscale structure.
Varun Vasudevan, Maxime Bassenne, Md Tauhidul Islam, Lei Xing 0001   +3 more
openaire   +3 more sources

MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Abstract. Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR) image multi-scale segmentation algorithms are usually inefficient and impractical.
F. Lang, J. Yang, L. Wu, D. Li, D. Li
openaire   +3 more sources

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

Superpixel-based automatic segmentation of villi in confocal endomicroscopy [PDF]

, 2016
Confocal Laser Endomicroscopy (CLE) is a technique permitting on-site microscopy of the gastrointestinal mucosa after the application of a fluorescent agent, allowing the evaluation of mucosa alterations. These are used as features by skilled technicians
Leong, RWL, Boschetto, D, Grisan, E, Mirzaei, H   +3 more
core   +2 more sources

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, Thompson, Alastair M., Stephen J. McKenna, Shazia Akbar, Alastair M. Thompson, Jordan, Lee, Lee Jordan, McKenna, Stephen J.; id_orcid   +7 more
core   +1 more source

Superpixel Embedding Network [PDF]

, 2019
Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize ...
Gaur, Utkarsh, Manjunath, BS
core   +1 more source