推进高分辨率遥感：一种紧凑而强大的语义分割方法

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-09-08 DOI:10.1080/01431161.2024.2398226

Hua Zhang, Zhengang Jiang, Jun Xu, Xin Pan

引用次数: 0

摘要

基于深度学习（DL）的方法能够在不依赖物理约束的情况下建立特征关联，与复杂且依赖物理约束的传统策略不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Advancing high-resolution remote sensing: a compact and powerful approach to semantic segmentation

Deep learning (DL)-based approaches are notable for their ability to establish feature associations without relying on physical constraints, unlike traditional strategies that are complex and depen...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).