Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …

Change detection (CD) is essential in remote sensing (RS) for natural resource monitoring,
territorial planning, and disaster assessment. With the abundance of data collected by …

Change detection is one of the fundamental applications of synthetic aperture radar (SAR)
images. However, speckle noise presented in SAR images has a negative effect on change …

深度学习方法在合成孔径雷达(Synthetic Aperture Radar, SAR) 目标识别方面表现良好,
但是这些深度模型往往需要大量训练数据来对模型参数进行优化, 否则经常会遇到严重的过拟合 …

In this study, spatial fuzzy c-means (SFCM) clustering and deep belief network (DBN)
method is presented for change detection in SAR images. There are three primary steps of …

Change detection is one of the fundamental applications of synthetic aperture radar (SAR)
14 images. However, speckle noise presented in SAR images has a negative effect on …