Uncertainty based regional-decision fusion of multispectral and nDSM for ultra-high resolution UAV imagery

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Journal of Spatial Science Pub Date : 2023-12-14 DOI:10.1080/14498596.2023.2286365

Ashish Soni, Radhakanta Koner, Vasant Govind Kumar Villuri

引用次数: 0

Abstract

The recent advancement in the pattern recognition technique has demonstrated the superiority of remote sensing technology. Deep neural networks use spatial feature representations such as convoluti...

查看原文本刊更多论文

基于不确定性的多光谱和 nDSM 区域决策融合，用于超高分辨率无人机图像

近年来模式识别技术的发展表明了遥感技术的优越性。深度神经网络使用空间特征表示，如卷积…

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Spatial Science 地学-地质学

CiteScore

5.00

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers. Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes. It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.