近年来突发性地表异常ESA (Earth Surface Anomalies) 事件频发且呈上升趋势, 给人类的生命,
财产安全带来了巨大威胁, 如何及时准确地发现地表异常事件对后续救援与灾害响应具有重要 …

The cropland field (CF) is the basic unit of agricultural production and a key element of
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …

Mapping agricultural information such as cropping area and type is of great significance for
land use and food security and a common method to retrieve such information is satellite …

High-resolution remote-sensing images can be used in human activity analysis and criminal
activity monitoring, especially in sparsely populated zones. In this paper, we explore the …

Satellite remote sensing provides an effective technical means for the precise extraction of
information on aquacultural areas, which is of great significance in realizing the scientific …

露天煤矿开采易对区域生态环境产生不利影响, 对其进行高效监管有利于矿区环境保护和可持续
发展. 随着遥感技术和人工智能的发展, 基于高分辨率遥感影像的露天煤矿区场景自动识别成为 …

Objective: Normalization methods plays an important role in feature preprocessing phase
not only in conventional machine learning domain but also in contemporary deep learning …

Extracting fragmented cropland is essential for effective cropland management and
sustainable agricultural development. However, extracting fragmented cropland presents …

Land-Use Scene Classification and change Detection (LUSCD) aim to recognize land-use
types and monitor their changes by using Remote-Sensing (RS) images, which play an …

English Land-Use Scene Classification and change Detection (LUSCD) aim to recognize
land-use types and monitor their changes by using Remote-Sensing (RS) images, which …