Search Results for author: Adam Van Etten

Found 14 papers, 6 papers with code

Vehicle Vectors and Traffic Patterns from Planet Imagery

no code implementations10 Jun 2024 Adam Van Etten

We explore methods to detect automobiles in Planet imagery and build a large scale vector field for moving objects.

The Weaknesses of Adversarial Camouflage in Overhead Imagery

2 code implementations6 Jul 2022 Adam Van Etten

In this paper we explore the efficacy and drawbacks of adversarial camouflage in an overhead imagery context.

Object object-detection +1

The SpaceNet Multi-Temporal Urban Development Challenge

no code implementations23 Feb 2021 Adam Van Etten, Daniel Hogan

Building footprints provide a useful proxy for a great many humanitarian applications.

Change Detection Humanitarian +3

RarePlanes: Synthetic Data Takes Flight

no code implementations4 Jun 2020 Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, Daeil Kim

RarePlanes is a unique open-source machine learning dataset that incorporates both real and synthetically generated satellite imagery.

Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data

no code implementations16 Jan 2020 Adam Van Etten, Jacob Shermeyer, Daniel Hogan, Nicholas Weir, Ryan Lewis

Identification of road networks and optimal routes directly from remote sensing is of critical importance to a broad array of humanitarian and commercial applications.


City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times

no code implementations6 Aug 2019 Adam Van Etten

We also test our algorithm on Google satellite imagery with OpenStreetMap labels, and find a 23% improvement over previous work.

City-scale Road Extraction from Satellite Imagery

no code implementations22 Apr 2019 Adam Van Etten

We find an aggregate score of APLS = 0. 73, and a TOPO score of 0. 58 (a significant improvement over existing methods).

SpaceNet MVOI: a Multi-View Overhead Imagery Dataset

no code implementations ICCV 2019 Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar, Hanlin Tang

To address this problem, we present an open source Multi-View Overhead Imagery dataset, termed SpaceNet MVOI, with 27 unique looks from a broad range of viewing angles (-32. 5 degrees to 54. 0 degrees).

object-detection Object Detection +1

The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery

2 code implementations10 Dec 2018 Jacob Shermeyer, Adam Van Etten

We also quantify the performance of object detection as a function of native resolution and object pixel size.

Object object-detection +3

Satellite Imagery Multiscale Rapid Detection with Windowed Networks

no code implementations25 Sep 2018 Adam Van Etten

Building upon the tensorflow object detection API paper, this pipeline offers a unified approach to multiple object detection frameworks that can run inference on images of arbitrary size.

object-detection Object Detection

SpaceNet: A Remote Sensing Dataset and Challenge Series

1 code implementation3 Jul 2018 Adam Van Etten, Dave Lindenbaum, Todd M. Bacastow

Foundational mapping remains a challenge in many parts of the world, particularly in dynamic scenarios such as natural disasters when timely updates are critical.

BIG-bench Machine Learning Object Detection

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

7 code implementations24 May 2018 Adam Van Etten

We further explore resolution and object size requirements by systematically testing the pipeline at decreasing resolution, and conclude that objects only ~5 pixels in size can still be localized with high confidence.

object-detection Object Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.