Results 81 to 90 of about 15,689 (243)
DISC: Deep Image Saliency Computing via Progressive Representation Learning
, 2015 Salient object detection increasingly receives attention as an important component or step in several pattern recognition and image processing tasks.
Chen, Tianshui +4 more
core +1 more source
Geo: Geography and Environment, Volume 13, Issue 1, January‐June 2026.Short Abstract This study evaluates the effectiveness of UAV multispectral imagery combined with machine learning techniques for mapping neglected and underutilised crop species (NUS), specifically taro and sweet potato in smallholder farming systems in South Africa.
Mishkah Abrahams +7 more
wiley +1 more source
Superpixel Segmentation Using Gaussian Mixture Model [PDF]
IEEE Transactions on Image Processing, 2018 Superpixel segmentation algorithms are to partition an image into perceptually coherence atomic regions by assigning every pixel a superpixel label. Those algorithms have been wildly used as a preprocessing step in computer vision works, as they can enormously reduce the number of entries of subsequent algorithms.
Zhihua Ban, Jianguo Liu, Li Cao
openaire +4 more sources
Robust Active Contour Model for Image Segmentation Using a Probability Density Function Approach
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes an active contour model‐based image segmentation algorithm using the probability density function. Initially, the probability density function is defined by the local mean and variance. Next, a length penalty term and a distance regularization term are incorporated.
XinChao Meng, Si Si, Pei Zhang
wiley +1 more source
Early smoke detection of forest fires based on SVM image segmentation
Journal of Forest Science, 2019 A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method
Ding Xiong, Lu Yan
doaj +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang +4 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Markov random field (MRF) based methods have been widely used in high spatial resolution (HSR) image classification. However, many existing MRF-based methods put more emphasis on pixel level contexts while less on superpixel level contextual information.
Yu Shen +3 more
doaj +1 more source
A survey on the utilization of Superpixel image for clustering based image segmentation [PDF]
, 2023 Buddhadev Sasmal, Krishna Gopal Dhal
openalex +1 more source
Automatic inventory of retaining walls from aerial lidar data using 3D deep learning
Civil Engineering Design, Volume 7, Issue 4, Page 178-189, December 2025.Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini +2 more
wiley +1 more source
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering [PDF]
, 2023 Renxiang Guan +3 more
openalex +1 more source