利用紧凑型偏振合成孔径雷达图像，基于归纳转移学习法对农作物进行精细分类

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-02-23 DOI:10.1080/15481603.2024.2319939

Xianyu Guo, Junjun Yin, Jian Yang

引用次数: 0

摘要

紧凑型偏振合成孔径雷达（CP SAR）降低了全偏振合成孔径雷达系统的复杂性，并扩大了成像范围。一般来说，农作物类型的精细分类依赖于许多方面，如农作物的...

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Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images

Compact polarimetric synthetic aperture radar (CP SAR) reduces fully polarimetric SAR system complexity and expands the imaging swath. Generally, fine classification of crop types relies on many la...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.