A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping
Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral mapping: high …
acquisition system that appears feasible for application in cadastral mapping: high …
Classification with an edge: Improving semantic image segmentation with boundary detection
We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic
segmentation with built-in awareness of semantically meaningful boundaries. Semantic …
segmentation with built-in awareness of semantically meaningful boundaries. Semantic …
The ISPRS benchmark on urban object classification and 3D building reconstruction
F Rottensteiner, G Sohn, J Jung… - ISPRS Annals of the …, 2012 - repo.uni-hannover.de
For more than two decades, many efforts have been made to develop methods for extracting
urban objects from data acquired by airborne sensors. In order to make the results of such …
urban objects from data acquired by airborne sensors. In order to make the results of such …
Results of the ISPRS benchmark on urban object detection and 3D building reconstruction
For more than two decades, many efforts have been made to develop methods for extracting
urban objects from data acquired by airborne sensors. In order to make the results of such …
urban objects from data acquired by airborne sensors. In order to make the results of such …
Topological map extraction from overhead images
We propose a new approach, named PolyMapper, to circumvent the conventional pixel-wise
segmentation of (aerial) images and predict objects in a vector representation directly …
segmentation of (aerial) images and predict objects in a vector representation directly …
C-UNet: Complement UNet for remote sensing road extraction
Y Hou, Z Liu, T Zhang, Y Li - Sensors, 2021 - mdpi.com
Roads are important mode of transportation, which are very convenient for people's daily
work and life. However, it is challenging to accuratly extract road information from a high …
work and life. However, it is challenging to accuratly extract road information from a high …
A higher-order CRF model for road network extraction
JD Wegner, JA Montoya-Zegarra… - Proceedings of the …, 2013 - openaccess.thecvf.com
The aim of this work is to extract the road network from aerial images. What makes the
problem challenging is the complex structure of the prior: roads form a connected network of …
problem challenging is the complex structure of the prior: roads form a connected network of …
An integrated method for urban main-road centerline extraction from optical remotely sensed imagery
Road information has a fundamental role in modern society. Road extraction from optical
satellite images is an economic and efficient way to obtain and update a transportation …
satellite images is an economic and efficient way to obtain and update a transportation …
Hd maps: Fine-grained road segmentation by parsing ground and aerial images
In this paper we present an approach to enhance existing maps with fine grained
segmentation categories such as parking spots and sidewalk, as well as the number and …
segmentation categories such as parking spots and sidewalk, as well as the number and …