Aerosol optical depth (AOD) is widely recognized as a critical indicator in understanding
atmospheric physics and regional air quality because of its capability for quantifying aerosol …

In the imaging process of optical remote sensing platforms, clouds are an inevitable barrier
to the effective observation of sensors. To recover the original information covered by the …

Aerosol is an important component of the atmosphere that affects the environment, climate,
and human health. Remote sensing is an efficient observation method for monitoring global …

Satellite-derived aerosol optical depth (AOD) products are one of main predictors to estimate
ground-level particulate matter (PM 10 and PM 2.5) concentrations. Since AOD products …

This study presents a method for the reconstruction of pixels contaminated by optical thick
clouds in multi-spectral Landsat images using multi-frequency SAR data. A number of …

Thick cloud and shadows have a significant impact on the availability of optical remote
sensing data. Although various methods have been proposed to address this issue, they still …

提出了一种新的利用多时相LandsatTM 影像数据进行的厚云及其阴影去除的方法.
该方法通过分析厚云及其阴影的光谱特征, 设计了厚云和云阴影识别模型. 该算法的实现是采用 …

Cloud removal is an important step in remote sensing image process. In this paper, the
author proposed a new algorithm for cloud removal using multi-temporal Landsat TM image …

Automated mechanization for curing a disease is a reliable and protuberant method. A
disease in brain can be detected by Magnetic Resonance Imaging (MRI). In this context …

Until now, of highest relevance for remote sensing data processing and analysis have been
techniques for pixel level image fusion. So, This paper attempts to undertake the study of …