Multispectral remote sensing images are the primary source in the land use and land cover
(LULC) monitoring. This is achieved by LULC classification and LULC change detection …

The detection of small ships in polarimetric synthetic aperture radar (PolSAR) images is still
a topic for further investigation. Recently, patch detection techniques, such as superpixel …

Multitemporal satellite synthetic aperture radar (SAR) images are a useful source of
information for geophysicists to monitor changing regions. In this paper, a new approach is …

In this paper, a novel method for the quality assessment of despeckled SAR images is
proposed. This method is based on the observation that the perceived quality of despeckled …

Spatial information has widely been used in hyperspectral image (HSI) classification to
improve classification accuracy. However, the structural information may not be fully …

Ship detection via synthetic aperture radar (SAR) has been demonstrated to be very useful
as polarimetric information helps discriminate between targets and sea clutter. Among the …

The covariance/coherence matrices are the most common way of representing polarimetric
information in the polarimetric synthetic aperture radar (PolSAR) data and have been …

提出了一种顾及空间邻域关系的多时相SAR 影像非监督变化检测方法, 采用马尔可夫随机场(
Markov random field, MRF) 模型描述SAR 比值差异图像的空间上下文信息 …

The existing fire scar detection methods based on multi-temporal analysis only used the
difference in either backscattering intensity or polarimetric characteristics between the pre …

For the past five decades, de-speckling of Synthetic Aperture Radar (SAR) images is one of
the hottest research areas. This research work presents the comprehensive survey about the …