An Efficient Multi-stage Object-Based Classification to Extract Urban Building Footprints from HR Satellite Images
نویسندگان
چکیده
Urban building information can be effectively extracted by applying object-based image segmentation and multi-stage thresholding on High Resolution (HR) remote sensing satellite imageries. This study provides the results obtained using this method images of Indian satellite, CARTOSAT-2S launched Space Research Organization (ISRO). In study, a is developed to extract urban footprints from HR images. The first step process consists generating highly dense per pixel Digital Surface Model (DSM) semi global matching algorithm stereo robust ground filtering generate Terrain (DTM). second step, approach adopted bases PAN sharpened image, normalized (nDSM) derived DSM DTM, Normalised Difference Vegetation Index (NDVI). are compared with manual drawing cartographers. An average precision 0.930, recall 0.917, f-score 0.922 obtained. found in match high resolution Airborne LiDAR providing solution for large areas, low cost time.
منابع مشابه
object based classification of large scale satellite images from complicated urban areas for land cover map production based on a new hierarchical model
land cover information is one of the most important prerequisite in urban management system. in this way remote sensing, as the most economic technology, is mainly used to produce land cover maps. considering the complicated and dense urban areas in third world countries, object based approaches are suggested as an effective image processing technique. the purpose of this paper are the introduc...
متن کاملIntroducing An Efficient Set of High Spatial Resolution Images of Urban Areas to Evaluate Building Detection Algorithms
The present work aims to introduce an efficient set of high spatial resolution (HSR) images in order to more fairly evaluate building detection algorithms. The introduced images are chosen from two recent HSR sensors (QuickBird and GeoEye-1) and based on several challenges of urban areas encountered in building detection such as diversity in building density, building dissociation, building sha...
متن کاملBuilding Extraction from Satellite Images
A method for detecting buildings from satellite/aerial images is proposed in this paper. The aim is to extract rectilinear buildings by using hypothesis. Hypothesis generation is accomplished by using edge detection and line generation methods. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image. Satellite imag...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Traitement Du Signal
سال: 2021
ISSN: ['0765-0019', '1958-5608']
DOI: https://doi.org/10.18280/ts.380120