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Multi-Scale Dense Graph Attention Network for Hyperspectral Classification 用于高光谱分类的多尺度密集图注意网络
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-05-09 DOI: 10.1080/07038992.2024.2333424
Chen Wang, Lu Li, ZhongQi Wang, JingYao Ma, YunLong Kong, YanFeng Wang, JianRui Chang, ZiMeng Zhang, XinYu Lin
In recent years, numerous deep learning-based methods have gained increasing attention in hyperspectral classification, particularly the Graph Neural Network, which exhibits superior capabilities i...
近年来,许多基于深度学习的方法在高光谱分类领域受到越来越多的关注,尤其是图神经网络,它在高光谱分类领域表现出卓越的能力。
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引用次数: 0
See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring 像蜜蜂一样观察用于空中草莓作物监测的紫外线传感器
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-04-14 DOI: 10.1080/07038992.2024.2332179
Megan Heath, Ali Imran, David St-Onge
Ultraviolet (UV)-reflectance is an essential signal of many plant species, which use wavelength-selective pigments in floral reproductive structures to determine the color of flowers and how they a...
紫外线(UV)反射是许多植物物种的基本信号,这些物种利用花生殖结构中的波长选择性色素来确定花的颜色以及它们如何...
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引用次数: 0
The WIPI Model Based on Multi-Scale Local Contrast Post-Processing for Infrared Small Target Detection 基于多尺度局部对比后处理的 WIPI 模型用于红外小目标探测
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-03-05 DOI: 10.1080/07038992.2024.2305913
Juan Chen, Lin Qiu, Zhencai Zhu, Ning Sun, Hao Huang, Wai-Hung Ip, Kai-Leung Yung
According to the infrared patch image (IPI) model theory, the infrared image background has a low rank and the target is sparse. The low-rank model can be used to separate the background and identi...
根据红外补丁图像(IPI)模型理论,红外图像背景秩较低,目标稀疏。低秩模型可用于分离背景和识别目标。
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引用次数: 0
Human Impact Land Use Layer from the Canadian Forest Service National Forest Inventory 加拿大林务局国家森林资源清查中的人类影响土地利用图层
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-02-22 DOI: 10.1080/07038992.2023.2299327
David A. Hill
The Human Impact Land Use Layer (HILL) dataset was developed with visual interpretation of high-resolution satellite imagery. 26,388 2 × 2 km photo plots from the Canadian National Forest Inventory...
人类影响土地利用图层 (HILL) 数据集是通过对高分辨率卫星图像进行直观判读而开发的。加拿大国家森林资源清查中的 26,388 个 2 × 2 千米的照片地块...
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引用次数: 0
3D Modeling of Façade Elements Using Multi-View Images from Mobile Scanning Systems 利用移动扫描系统的多视角图像进行外墙构件的 3D 建模
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-02-21 DOI: 10.1080/07038992.2024.2309895
Abbas Salehitangrizi, Shabnam Jabari, Michael Sheng, Yun Zhang
There is a growing demand for detailed building façade models (Level-of-Detail 3: LoD 3) in a variety of applications. Despite the increasing number of papers addressing this issue in the literatur...
在各种应用中,对详细建筑立面模型(Level-of-Detail 3:LoD 3)的需求日益增长。尽管文献中有越来越多的论文探讨了这一问题,但在实际应用中仍有许多问题需要解决。
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引用次数: 0
Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data 基于 SMOS 卫星数据的中印度洋盐度机器学习反演方法比较
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-02-08 DOI: 10.1080/07038992.2023.2298575
Ziyi Gong, Hongchang He, Donglin Fan, You Zeng, Zhenhao Liu, Bozhi Pan
In this paper, the central Indian Ocean (60°–95°E, 0°–37°S) has been selected as the research area, and Argo salinity data are used as the measured values. The Catboost algorithm is introduced for ...
本文选择印度洋中部(60°-95°E,0°-37°S)作为研究区域,并使用 Argo 盐度数据作为测量值。本文引入了 Catboost 算法,用于 ...
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引用次数: 0
Estimating Tree Diameter at Breast Height (DBH) Using iPad Pro LiDAR Sensor in Boreal Forests 使用 iPad Pro 激光雷达传感器估算北方森林中树木的胸径 (DBH)
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-01-18 DOI: 10.1080/07038992.2023.2295470
Matthew Guenther, Muditha K. Heenkenda, Brigitte Leblon, Dave Morris, Jason Freeburn
Traditional Diameter at Breast Height (DBH) mensuration is labor-intensive and costly. This scoping study explored the possibility of using the Apple iPad Pro Light Detection And Ranging (LiDAR) se...
传统的胸径(DBH)测量既耗费人力,又成本高昂。这项范围界定研究探讨了使用 Apple iPad Pro 的光探测和测距 (LiDAR) 接收器的可能性。
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引用次数: 0
Synthetic Images for Georeferencing Camera Images in Mobile Mapping Point-clouds 用于移动测绘点云中相机图像地理参照的合成图像
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-01-16 DOI: 10.1080/07038992.2023.2300328
Kent Jones, Derek D. Lichti, Robert Radovanovic
Accurate three-dimensional mapping and digital twinning provides a powerful tool for effective maintenance of civil infrastructure and supports efficient future planning of new developments. Three-...
精确的三维测绘和数字孪生为有效维护民用基础设施提供了强有力的工具,并为未来新开发项目的高效规划提供了支持。三...
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引用次数: 0
Dense Connected Edge Feature Enhancement Network for Building Edge Detection from High Resolution Remote Sensing Imagery 用于从高分辨率遥感图像中检测建筑物边缘的密集连接边缘特征增强网络
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2024-01-16 DOI: 10.1080/07038992.2023.2298806
Xueyan Dong, Jiannong Cao, Weiheng Zhao
Deep-learning-based methods for building-edge-detection have been widely researched and applied in the field of image processing. However, these methods often emphasis the analysis of deep features...
基于深度学习的建筑边缘检测方法在图像处理领域得到了广泛的研究和应用。然而,这些方法通常强调对深层特征的分析...
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引用次数: 0
Comprehensive Landsat-Based Analysis of Long-Term Surface Water Dynamics over Wetlands and Waterbodies in North America 基于大地遥感卫星的北美湿地和水体地表水长期动态综合分析
IF 2.6 4区 地球科学 Q3 REMOTE SENSING Pub Date : 2023-12-21 DOI: 10.1080/07038992.2023.2293058
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, Fariba Mohammadimanesh
Wetlands are considered one of the most valuable ecosystems around the world and provide numerous environmental services, including water purification, flood protection, and habitat for a variety o...
湿地被认为是全世界最宝贵的生态系统之一,可提供多种环境服务,包括水净化、防洪以及各种生物的栖息地。
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引用次数: 0
期刊
Canadian Journal of Remote Sensing
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