Urban flooding is a serious natural hazard to many cities all over the world, which has
dramatic impacts on the urban environment and human life. Urban flooding mapping has …

Presently, due to the limitations of satellite launch cost and existing technology, it is scarcely
possible to obtain single remotely sensed images with both fine-spatial resolution and high …

Spectral unmixing and sub-pixel mapping have been used to estimate the proportion and
spatial distribution of the different land-cover classes in mixed pixels at a sub-pixel scale. In …

Super-resolution mapping (SRM) is a potential technique to improve image pattern
recognition by predicting the spatial distribution of class composition at a sub-pixel scale. A …

In order to retain the characteristics and style of traditional settlements and respect their
layout and structure, it is necessary to carry out original planning and expansion of …

Super-resolution mapping of urban flood (SMUF) is one of the hotspots in remote sensing
and urban environment research. In this letter, a new SMUF method based on the fusion of …

Indicator-geostatistics based super-resolution mapping (IGSRM) is a popular super-
resolution mapping (SRM) method. Unlike most existing SRM methods that produce only …

This letter investigates the use of coarse-image features for predicting class labels at a given
finer spatial scale. In this regard, two unsupervised subpixel mapping approaches, a …

In this paper, we investigate the use of coarse image features for predicting class label
distributions at a finer scale. The major contributions of this work are 1) use of coarse image …

Subpixel mapping (SPM) algorithms effectively estimate the spatial distribution of different
land cover classes within mixed pixels. This paper proposed a new subpixel mapping …