Water pollution has become one of the most serious issues threatening water environments,
water as a resource and human health. The most urgent and effective measures rely on …

In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …

高光谱成像技术具有光谱分辨率高, 图谱合一的独特优势, 是遥感技术发展以来最重大的科技
突破之一. 中国的高光谱遥感发展与国际基本同步, 在国家和省部级科研项目的支持下 …

In this paper, the development of pansharpening methods from traditional understanding to
the current understanding is comprehensively reviewed. Furthermore, the performance of …

Remote sensing satellite sensors feature a tradeoff between the spatial, temporal, and
spectral resolutions. In this paper, we propose an integrated framework for the spatio …

Pansharpening aims to sharpen a lowspatial-resolution (LR) multispectral (MS) image using
a high-spatial-resolution (HR) panchromatic (Pan) image to obtain the HR MS image. It has …

Hyperspectral (HS) pansharpening aims to create a pansharpened image that integrates the
spatial details of the panchromatic (PAN) image and the spectral content of the HS image. In …

The trade-off between spatial and temporal resolutions in remote sensing has greatly limited
the availability of concurrently high spatiotemporal land surface temperature (LST) data for …

数据融合是提升遥感影像应用能力的重要手段, 一直是遥感信息处理与应用领域的研究热点.
本文系统综述了遥感数据融合的进展与前瞻: 首先对数据融合的层次与分类进行了总结和归纳 …

State-of-the-art pansharpening methods generally inject the spatial structures of a high
spatial resolution (HR) panchromatic (PAN) image into the corresponding low spatial …