Change detection is an important step for the characterization of object dynamics at earth’s surface. In multi-temporal point clouds, main challenge to detect true changes different granularities in a scene subject significant noise and occlusion. To better understand new research perspectives this field, deep review recent advances 3D change methods needed. end, we present comprehensive state ...

This manuscript makes two contributions to the field of change-point detection. In a general setting, we provide generic algorithm for aggregating local homogeneity tests into an estimator change-points in time series. Interestingly, establish that error rates collection directly translate detection properties estimator. scheme is then applied various problems including covariance detection, no...

Change point detection in high dimensional data has found considerable interest recent years. Most of the literature either designs methodology for a retrospective analysis, where whole sample is already available when statistical inference begins, or considers online schemes controlling average time until false alarm. This paper takes different view and develops monitoring scenario, arrives su...

An analytical approach is presented to assess the response of offshore structures under seismic excitation. This paper evaluates the impacts of different fluid field models and the mass of equipment at the top of offshore structure which is simulated as lumped mass on the responses of offshore structures. To do this, two and three dimensional fluid field models are developed. In three dimension...