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针对极化SAR图像在监督分类时存在人工标注样本费时费力以及浅层结构学习算法的表达能力有限等问题,提出一种基于主动深度学习的极化SAR图像分类方法。首先,对测量数据进行多种极化特征提取,以便完整地描述图像信息; 在此基础上,通过自动编码器对大量无标记样本进行非监督学习,提取更具可分性和不变性的深层特征; 然后,利用少量标记样本训练分类器,并与自动编码器连接,以监督学习的方式微调整个网络; 最后,通过...
In this paper, the potential of using free-of-charge Sentinel-1 Synthetic Aperture Radar (SAR) imagery for land cover mapping in urban areas is investigated. To this aim, we use dual-pol (VV+VH) Inter...
The aim of this study was to exploit fully polarimetric SAR data acquired during TanDEM-X – Science Phase (2014/2015) over herbaceous wetlands of the Biebrza National Park (BbNP) in North-Eastern Pola...
The Emilia Romagna Region (N-E Italy) and in particular the Adriatic Sea coastline of Ravenna, is affected by a noticeable subsidence that started in the 1950s, when the exploitation of on and off-sho...
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
The world is experiencing a rapid rate of urban expansion mainly caused by the rapid population growth. Remote sensing images can give patterns of urban growth, but urban areas are difficult to map be...
This paper aims at the characteristics of the data source, the requirements of the database establishing, studies the theory of spatial database, ComGIS and some relative key technique, discusses the ...
An efficient statistical algorithm of automatic extracting road from SAR images is devised in this paper. First, an feature detecting operator is used to find the road candidate. Then another smaller ...
In this paper, we describe an extension of an automatic road extraction procedure developed for single SAR images towards multiaspect SAR images. Extracted information from multi-aspect SAR images is ...
State-of-the-art airborne SAR sensors provide spatial resolution on the order of a decimetre. In such data, many features of urban objects can be identified, which were beyond the scope of radar remot...
Within the paper the automatic matching of existing GIS data to airborne SAR scenes for georeferencing is discussed. For this purpose simulated SAR images are generated based on the available GIS obje...
State-of-the-art airborne SAR sensors provide spatial resolution on the order of a decimetre. In such data, many features of urban objects can be identified, which were beyond the scope of radar remot...
Combined processing using different sensor types, i.e. for applications like change detection, requires a good geo-referencing. Furthermore the individual sensor properties have to be taken into accou...
In this paper Envisat alternating polarization SAR images were used in the agricultural monitoring and yield damage assessment. The main advantage of using synthetic aperture radar (SAR) is that sat...
Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have ...

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