Results 31 to 40 of about 682 (137)

Change Detection of High Resolution SAR Images by the Fusion of Coherent/Incoherent Information

Leida xuebao, 2015
Aiming at detecting the change regions of high resolution Synthetic Aperture Radar (SAR) images, we propose to use the Dempster-Shafer (D-S) evidence theory to fuse coherent/incoherent features from sensors that form an integral part of the system. First,
Yang Xiang-li, Xu De-wei, Huang Ping-ping, Yang Wen   +3 more
doaj   +1 more source

Optimizable Image Segmentation Method with Superpixels and Feature Migration for Aerospace Structures

Aerospace, 2022
The lack of high-quality, highly specialized labeled images, and the expensive annotation cost are always critical issues in the image segmentation field. However, most of the present methods, such as deep learning, generally require plenty of train cost
Chengwei Fei, Jiongran Wen, Lei Han, Bo Huang, Cheng Yan   +4 more
doaj   +1 more source

Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms

Journal of Marine Science and Engineering, 2021
Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability.
Haolin Xue, Xiang Chen, Ruo Zhang, Peng Wu, Xudong Li, Yuanchang Liu   +5 more
doaj   +1 more source

An MFF-SLIC Hybrid Superpixel Segmentation Method with Multi-Source RS Data for Rock Surface Extraction

Applied Sciences, 2019
Multi-Source RS data integration is a crucial technology for rock surface extraction in geology. Both Terrestrial laser scanning (TLS) and Photogrammetry are primary non-contact active measurement techniques.
Xuefeng Yi, Rongchun Zhang, Hao Li, Yuanyuan Chen   +3 more
doaj   +1 more source

Unsupervised Classification for Polarimetric Synthetic Aperture Radar Images Based on Wishart Mixture Models

Leida xuebao, 2017
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, determining the number of clusters in this process is still a challenging problem. To this end, we propose
Zhong Neng, Yang Wen, Yang Xiangli, Guo Wei   +3 more
doaj   +1 more source

Purifying SLIC Superpixels to Optimize Superpixel-Based Classification of High Spatial Resolution Remote Sensing Image

Remote Sensing, 2019
Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong, Fei Tong, Wei Zhou, Yun Zhang   +3 more
doaj   +1 more source

Intelligent High-Resolution Geological Mapping Based on SLIC-CNN

ISPRS International Journal of Geo-Information, 2020
High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems.
Xuejia Sang, Linfu Xue, Xiangjin Ran, Xiaoshun Li, Jiwen Liu, Zeyu Liu   +5 more
doaj   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Comparative Studies of Region-Based Segmentation Algorithms on Natural and Remote Sensing Images [PDF]

ITM Web of Conferences
Region-based segmentation algorithms are used as a preprocessing approach to generate over-segmented regions. Over-segmented regions refer to the creation of small regions in an image that represent no meaningful object regions. It has been observed that
Shoaib Asim, Vadiveloo Mogana, Lim Seng Poh   +2 more
doaj   +1 more source

Discriminating crops/weeds in an upland rice field from UAV images with the SLIC-RF algorithm

Plant Production Science, 2020
In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest (RF)
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Pheunphit Soisouvanh, Sengthong Phongchanmixay   +4 more
doaj   +1 more source