Due to the unprecedented technology development of sensors, platforms and algorithms for
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …

Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

In their applications, both deep learning techniques and object-based image analysis (OBIA)
have shown better performance separately than conventional methods on change detection …

In this paper, a survey of the techniques and data sets used to evaluate earthquake
damages using remote sensing data is presented. After a few preliminary definitions about …

多时相遥感影像变化检测技术能够监测生态环境变化, 跟踪城市发展, 对于研究人类与自然环境
之间的交互关系有着重要的意义. 随着新型遥感影像的不断普及, 变化检测也在高光谱影像变化 …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

In recent years, analysis of remote sensing imagery is imperatives in the domain of
environmental and climate monitoring primarily for the application of detecting and …

ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …

This paper suggests a new approach for change detection (CD) in 3D point clouds. It
combines classification and CD in one step using machine learning. The point cloud data of …

There is currently high interest in developing automated methods to assist the updating of
map databases. This study presents methods for automatic detection of buildings and …