Multiscale feature enhancement network for salient object detection in optical remote sensing images
Z Wang, J Guo, C Zhang, B Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Salient object detection (SOD) in optical remote sensing images (RSIs) is a valuable and
challenging task. Although many SOD methods for RSIs have been proposed, there are still …
challenging task. Although many SOD methods for RSIs have been proposed, there are still …
A parallel down-up fusion network for salient object detection in optical remote sensing images
The diverse spatial resolutions, various object types, scales and orientations, and cluttered
backgrounds in optical remote sensing images (RSIs) challenge the current salient object …
backgrounds in optical remote sensing images (RSIs) challenge the current salient object …
From superpixels to foundational models: An overview of unsupervised and generalizable image segmentation
Image segmentation is one of the most classical computer vision tasks. Segmentation tasks
yield a set of classes attributed to individual pixels instead of sparsely predicted images or …
yield a set of classes attributed to individual pixels instead of sparsely predicted images or …
Bottom-up unsupervised image segmentation using FC-Dense u-net based deep representation clustering and multidimensional feature fusion based region merging
Recent advances in system resources provide ease in the applicability of deep learning
approaches in computer vision. In this paper, we propose a deep learning-based …
approaches in computer vision. In this paper, we propose a deep learning-based …
Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection
Hyperspectral salient object detection (HSOD) aims to detect spectrally salient objects in
hyperspectral images (HSIs). However, existing methods inadequately utilize spectral …
hyperspectral images (HSIs). However, existing methods inadequately utilize spectral …
Salient object detection in hyperspectral images using deep background reconstruction based anomaly detection
PS Singh, S Karthikeyan - Remote Sensing Letters, 2022 - Taylor & Francis
Salient object detection is a significant task that forms the basis for many image processing
and computer vision applications. In recent years, the research in this area is being …
and computer vision applications. In recent years, the research in this area is being …
Salient object detection on hyperspectral images in wireless network using CNN and saliency optimization
C Huang, T Xu, Y Zhang, C Pan, J Hao, X Li - Ad Hoc Networks, 2021 - Elsevier
Salient object detection on hyperspectral images has made some progress in recent years,
benefiting from the development of wireless network and hyperspectral imaging technology …
benefiting from the development of wireless network and hyperspectral imaging technology …
Cnn-based salient object detection on hyperspectral images using extended morphology
K Chhapariya, KM Buddhiraju… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Salient object detection in hyperspectral images (HSIs) is of interest in various image
processing and computer vision applications. Many studies considering spectral information …
processing and computer vision applications. Many studies considering spectral information …
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
Hyperspectral salient object detection (HSOD) has exhibited remarkable promise across
various applications, particularly in intricate scenarios where conventional RGB-based …
various applications, particularly in intricate scenarios where conventional RGB-based …
Optical filter net: A spectral-aware rgb camera framework for effective green pepper segmentation
J Yu, T Kurihara, S Zhan - IEEE Access, 2021 - ieeexplore.ieee.org
Detecting and identifying objects of similar color is a challenging task in computer vision.
Green peppers in a natural environment can be found using the abundant information …
Green peppers in a natural environment can be found using the abundant information …