Segmentation of urban scenes from aerial stereo imagery

نویسندگان

  • Caroline Baillard
  • Olivier Dissard
  • Henri Maître
چکیده

This paper presents a focusing strategy for the 3-D reconstruction of urban scenes from aerial stereo pairs. It consists in segmenting the scene into above-ground objects (buildings or vegetation), and it relies on 3-D and radiometric analyses. The classification is able to cope with extended above-ground, adjacent objects, slopes, and it is robust to image and scene variability.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards automatic 3D reconstruction of urban scenes from low-altitude aerial images

We propose a methodology for reconstructing large– scale architectural scenes from low–altitude aerial images, in an efficient, accurate and fully automatic way. Towards this goal, we have developed an area–based segmentation technique, called Colored Watershed, that is particularly suited to segment objects with homogeneous photometric properties, which are typical of such scenes. This techniq...

متن کامل

Towards an Understanding of the Effect of Night Vision Display Imagery on Scene Recognition

An experimental study was carried out to evaluate the combined effect of the absence of colour and the alteration of surface intensities on the recognition of complex scenes. This approach was motivated by the properties of the monochrome imagery of night vision goggles (NVGs), which are a commonly used form of night vision display. Observers were presented with pairs of aerial views of simulat...

متن کامل

Integration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery

The problem of extracting the building from mono optical aerial imagery with high spatial resolution is always considered as an important challenge to prepare the maps. The goal of the current research is to take advantage of the semantic segmentation of mono optical aerial imagery to extract the building which is realized based on the combination of deep convolutional neural networks (DCNN) an...

متن کامل

Urban scene modeling from airborne data

Analysis and 3D reconstruction of urban scenes from physical measurements is a fundamental problem in computer vision and geometry processing. Within the last decades, an important demand arises for automatic methods generating urban scenes representations. This thesis investigates the design of pipelines for solving the complex problem of reconstructing 3D urban elements from either aerial Lid...

متن کامل

Surface and terrain reconstruction from very high resolution imagery: Where are we now?

3D Geographic Information and especially Digital Surface or Terrain Models are becoming essential data for many applications, from risk mapping (avalanches, volcanoes, floods, ..) to town and infrastructure planning with virtual and augmented reality. Automatic surface reconstruction from images with shape from stereo techniques has been a subject of constant attention within remote sensing, ph...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998