Development of new pattern recognition techniques for the analysis of data collected from satellites and airborne sensors used for Earth observation has been a popular research topic for several decades. Consequently, the pattern recognition and remote sensing research fields have always overlapped. However, the large volumes of remote sensing data acquired from last generation sensors require ...

Research in time-series remote sensing data is receiving increasing attention. With the availability of relatively short repeat cycle and high spatial resolution satellite data, the construction and application of high spatiotemporal remote sensing time-series data is promising. In this paper, we proposed a method to construct complete spatial time series data, with Savitzky-Golay filter for sm...

Computer vision, as a part of machine learning, gains significant attention from researches nowadays. Aerial scene classification is prominent chapter computer vision with vast application: military, surveillance and security, environment monitoring, detection geospatial objects, etc. There are several publicly available remote sensing image datasets, which enable the deployment various aerial ...