The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …

Satellite Image Time Series are becoming increasingly available and will continue to do so
in the coming years thanks to the launch of space missions which aim at providing a …

We analyze the state of the art of content-based retrieval in Earth observation image
archives focusing on complete systems showing promise for operational implementation …

Remote sensing (RS) image retrieval based on visual content is of great significance for
geological information mining. Over the past two decades, a large amount of research on …

The problems of recurrent and anomalous pattern discovery in time series, eg, motifs and
discords, respectively, have received a lot of attention from researchers in the past decade …

Convolutional neural networks trained with satellite image time series have demonstrated
their potential in land cover classification in recent years. Nevertheless, the rationale leading …

Satellite images allow the acquisition of large-scale ground vegetation. Images are available
along several years with a high acquisition rate. Such data are called satellite image time …

Time series remote sensing image is an important resource for dynamic monitoring of
resources and environment, and its abundant time spectrum information can be used to …

The forest landscape pattern evolution can reveal the intensity and mode of action of human–
land relationships at different times and in different spaces, providing scientific support for …

同一区域, 不同时期大量历史数据的积累, 以及同一区域能够方便地获取高时间分辨率遥感数据,
使遥感时间序列影像变化检测成为近年来遥感技术与应用的研究热点. 本文系统总结和评述了 …