Utilizing Parallel Networks to Produce Sub-Pixel Shifted Images With Multiscale Spatio-Spectral Information for Soft-Then-Hard Sub-Pixel Mapping

Soft-then-hard sub-pixel mapping with multiple shifted images

A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images

Sub-pixel mapping is a technique designed to obtain the spatial distribution of different classes in mixed pixels at the sub-pixel scale by transforming fraction images into a classification map. Traditional subpixel mapping algorithms only utilize a low-resolution image, and sub-pixel mapping is an ill-posed problem as information in a single low-resolution image is not enough to obtain a high...

Spectral Information Retrieval for Sub-pixel Building Edge Detection

Building extraction from imagery has been an active research area for decades. However, the precise building detection from hyperspectral (HSI) images solely is a less often addressed research question due to the low spatial resolution of data. The building boundaries are usually represented by spectrally mixed pixels, and classical edge detector algorithms fail to detect borders with sufficien...

Sub-pixel Target Mapping from Soft-classified, Remotely Sensed Imagery

A simple, efficient algorithm is presented for sub-pixel target mapping from remotely-sensed images. Following an initial random allocation of “soft” pixel proportions to “hard” subpixel binary classes, the algorithm works in a series of iterations, each of which contains three stages. For each pixel, for all sub-pixel locations, a distance-weighted function of neighboring sub-pixels is compute...

New Algorithm for Sub-pixel Boundary Mapping

Remotely sensed images often contain a combination of both pure and mixed pixels. Analysis and classification of remotely sensed imagery used to provide information on the spatial pattern of land cover feature suffer from the problem of class mixing within pixels. Therefore, how to get spatial pattern and boundaries information of endmembers in sub-pixel scale has been receiving increasing atte...