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相关论文: Detection of Moving Objects in Earth Observation S…

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In this study, we present a method for detecting and analyzing the velocities of moving objects in Earth observation satellite images, specifically using data from Planet Labs' push broom scanning satellites. By exploiting the sequential…

地球与行星天体物理 · 物理学 2024-06-25 Eric Keto , Wesley Andres Watters

In multi-spectral images made by Earth observation satellites that use push-broom scanning, such as those operated by Planet Labs Corp., moving objects can be identified by the appearance of the object at a different locations in each…

地球与行星天体物理 · 物理学 2024-06-21 Eric Keto , Wesley Andres Watters

We explore methods to detect automobiles in Planet imagery and build a large scale vector field for moving objects. Planet operates two distinct constellations: high-resolution SkySat satellites as well as medium-resolution SuperDove…

计算机视觉与模式识别 · 计算机科学 2024-06-11 Adam Van Etten

We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. Solving such a…

计算机视觉与模式识别 · 计算机科学 2015-12-14 Artem Rozantsev , Vincent Lepetit , Pascal Fua

The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data. However, it is extremely hard work to manually analyze such huge data.…

计算机视觉与模式识别 · 计算机科学 2017-07-31 Kazuki Uehara , Hidenori Sakanashi , Hirokazu Nosato , Masahiro Murakawa , Hiroki Miyamoto , Ryosuke Nakamura

In this paper we propose a novel approach for detecting and tracking objects in videos with variable background i.e. videos captured by moving cameras without any additional sensor. In a video captured by a moving camera, both the…

计算机视觉与模式识别 · 计算机科学 2017-05-09 Kumar S. Ray , Vijayan K. Asari , Soma Chakraborty

This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment. A key problem is that due to the environment scale, it can only observe a subset…

机器人学 · 计算机科学 2018-01-31 Nils Bore , Johan Ekekrantz , Patric Jensfelt , John Folkesson

During about 30 years, a lot of research teams have worked on the big challenge of detection of moving objects in various challenging environments. First applications concern static cameras but with the rise of the mobile sensors studies on…

计算机视觉与模式识别 · 计算机科学 2020-01-16 Marie-Neige Chapel , Thierry Bouwmans

Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications. However, achieving moving object detection and tracking in satellite videos remains challenging due…

计算机视觉与模式识别 · 计算机科学 2021-11-29 Qian Yin , Qingyong Hu , Hao Liu , Feng Zhang , Yingqian Wang , Zaiping Lin , Wei An , Yulan Guo

Detecting moving vehicles and people is crucial for safe operation of UGVs but is challenging in cluttered, real world environments. We propose a registration technique that enables objects to be robustly matched and tracked, and hence…

机器人学 · 计算机科学 2017-09-26 Daniel D. Morris , Brian Colonna , Paul Haley

The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate with high angular speed. FMOs are very common in sports…

计算机视觉与模式识别 · 计算机科学 2019-05-13 Denys Rozumnyi , Jan Kotera , Filip Sroubek , Lukas Novotny , Jiri Matas

This paper presents a new high resolution aerial images dataset in which moving objects are labelled manually. It aims to contribute to the evaluation of the moving object detection methods for moving cameras. The problem of recognizing…

计算机视觉与模式识别 · 计算机科学 2021-03-25 Ibrahim Delibasoglu

A satellite image is a remotely sensed image data, where each pixel represents a specific location on earth. The pixel value recorded is the reflection radiation from the earth's surface at that location. Multispectral images are those that…

计算机视觉与模式识别 · 计算机科学 2022-03-22 Purbarag Pathak Choudhury , Ujjal Kr Dutta , Dhruba Kr Bhattacharyya

Moving object detection in satellite videos (SVMOD) is a challenging task due to the extremely dim and small target characteristics. Current learning-based methods extract spatio-temporal information from multi-frame dense representation…

计算机视觉与模式识别 · 计算机科学 2024-11-26 C. Xiao , W. An , Y. Zhang , Z. Su , M. Li , W. Sheng , M. Pietikäinen , L. Liu

This paper proposes a method for automatically monitoring and analyzing the evolution of complex geographic objects. The objects are modeled as a spatiotemporal graph, which separates filiation relations, spatial relations, and…

计算机视觉与模式识别 · 计算机科学 2023-05-25 Zouhayra Ayadi , Wadii Boulila , Imed Riadh Farah

In recent years, the satellite videos have been captured by a moving satellite platform. In contrast to consumer, movie, and common surveillance videos, satellite video can record the snapshot of the city-scale scene. In a broad…

计算机视觉与模式识别 · 计算机科学 2018-07-06 Wei Ao , Yanwei Fu , Feng Xu

The forthcoming space missions, able to detect Earth-like planets by the transit method, will a fortiori also be able to detect the transit of artificial planet-size objects. Multiple artificial objects would produce lightcurves easily…

天体物理学 · 物理学 2009-11-10 Luc Arnold

This paper presents a method for detecting and estimating vehicle speeds using PlanetScope SuperDove satellite imagery, offering a scalable solution for global vehicle traffic monitoring. Conventional methods such as stationary sensors and…

计算机视觉与模式识别 · 计算机科学 2024-10-22 Maciej Adamiak , Yulia Grinblat , Julian Psotta , Nir Fulman , Himshikhar Mazumdar , Shiyu Tang , Alexander Zipf

A commonly encountered problem is the tracking of a physical object, like a maneuvering ship, aircraft, land vehicle, spacecraft or animate creature carrying a wireless device. The sensor data is often limited and inaccurate observations of…

系统与控制 · 计算机科学 2015-03-02 Kevin Judd

This paper reviews object detection methods for finding small objects from remote sensing imagery and provides an empirical evaluation of four state-of-the-art methods to gain insights into method performance and technical challenges. In…

计算机视觉与模式识别 · 计算机科学 2026-01-01 Xiaohui Yuan , Aniv Chakravarty , Lichuan Gu , Zhenchun Wei , Elinor Lichtenberg , Tian Chen
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