With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …

The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …

The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …

Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …

近年来, 随着遥感技术的发展, 高光谱, 红外, 雷达等多源遥感成像手段在精准农业, 资源调查,
环境监测, 军事国防等重要领域发挥着越来越重要的作用. 同一场景多源遥感图像观测的地物 …

Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …

Earth observation through remote sensing images allows the accurate characterization and
identification of materials on the surface from space and airborne platforms. Multiple and …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

In this paper, multivariate regression is adopted to improve spectral quality, without
diminishing spatial quality, in image fusion methods based on the well-established …

This paper introduces a novel approach for evaluating the quality of pansharpened
multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are …