基于层次同质性的超像素分割：应用于高光谱图像分析

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

International Journal of Remote Sensing Pub Date : 2024-08-09 DOI:10.1080/01431161.2024.2384098

L. C. Ayres, S. J. M. de Almeida, J. C. M. Bermudez, R. A. Borsoi

引用次数: 0

摘要

最近，高光谱图像（HI）分析方法变得越来越复杂和精密。最近，光谱-空间信息和超像素技术的结合为分析高光谱图像提供了新的方法。

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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Hierarchical homogeneity-based superpixel segmentation: application to hyperspectral image analysis

Hyperspectral image (HI) analysis approaches have recently become increasingly complex and sophisticated. Recently, the combination of spectral-spatial information and superpixel techniques have ad...

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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).