An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images. Issue 4 (3rd April 2017)

• Record Type: Journal Article
• Authors: Wang, Zhihua; Yang, Xiaomei
• Is Part Of: Remote sensing letters. Volume 8:Issue 4(2017)
• Page Start: 380
• Page End: 388
• Publication Date: 2017-04-03
• Subjects: Remote sensing -- Periodicals; Remote sensing; Periodicals; 621.3678
• DOI: 10.1080/2150704X.2016.1274442
• Languages: English
• ISSNs: 2150-704X

Abstract

ABSTRACT: Extraction of rural residential areas from high spatial resolution remote sensing images is important for monitoring urban development and assessing disasters. In practice, plant rows in dry lands, field ridges and vegetable greenhouses around rural residential areas are easily confused in the images. To eliminate or reduce these confusions, an edge-suppressed points voting (ESPV) method is proposed. The rationale is that these nonrelated line-segment features have striking differences in perpendicular directional filtering responses. Comparison experiments indicate that ESPV can eliminate a lot of confusions and perform well in rural residential area extraction in accuracy aspect.