Results 21 to 30 of about 53,200 (313)

An Empirical Study of the Convolution Neural Networks Based Detection on Object With Ambiguous Boundary in Remote Sensing Imagery—A Case of Potential Loess Landslide

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Many objects in the naturalenvironment are generated from the background and even transformed by nature or human beings. Thus, they do not have closed and well-defined boundaries in remote sensing imagery.
Guangle Yao   +6 more
doaj   +1 more source

A color balancing method for wide range Remote Sensing imagery based on Regionalization [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Quick mosaicking of wide range remote sensing imagery is an important foundation for land resource survey and dynamic monitoring of environment and nature disasters.
J. Liu, H. T. Li, H. Y. Gu
doaj   +1 more source

AerialWaste dataset for landfill discovery in aerial and satellite images

open access: yesScientific Data, 2023
Measurement(s) Landfills detections in very high-resolution remote sensing imagery Technology Type(s) remote sensing imagery Sample Characteristic - Environment landfill Sample Characteristic - Location Region of ...
Rocio Nahime Torres, Piero Fraternali
doaj   +1 more source

A detection method of trace metal elements in black soil based on hyperspectral technology: Geological implications

open access: yesDizhi lixue xuebao, 2021
In the case of low content of heavy metals in soil, the hyperspectral characteristic response of heavy metals is very weak, so it is difficult to construct an accurate direct hyperspectral inversion model.
WANG Jianhua   +7 more
doaj   +1 more source

Integration of Satellite Data with High Resolution Ratio: Improvement of Spectral Quality with Preserving Spatial Details

open access: yesSensors, 2018
Commonly used image fusion techniques generally produce good results for images obtained from the same sensor, with a standard ratio of spatial resolution (1:4).
Aleksandra Sekrecka, Michal Kedzierski
doaj   +1 more source

Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network

open access: yesIEEE Access, 2020
Object detection has always been a challenging task in the field of computer vision due to complex background, large scale variation and many small objects, which are especially pronounced for remote sensing imagery.
Yangyang Li   +5 more
doaj   +1 more source

Accuracy Analysis of a 3D Model of Excavation, Created from Images Acquired with an Action Camera from Low Altitudes

open access: yesISPRS International Journal of Geo-Information, 2019
In the last few years, Unmanned Aerial Vehicles (UAVs) equipped with compact digital cameras, have become a cheap and efficient alternative to classic aerial photogrammetry and close-range photogrammetry.
Damian Wierzbicki, Marcin Nienaltowski
doaj   +1 more source

USE OF OPENLY AVAILABLE SATELLITE IMAGES FOR REMOTE SENSING EDUCATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
With the advent of Google Earth, Google Maps, and Microsoft Bing Maps, high resolution satellite imagery are becoming more easily accessible than ever.
C.-K. Wang
doaj   +1 more source

An Improvement in the Identification of the Centres of Checkerboard Targets in Point Clouds Using Terrestrial Laser Scanning

open access: yesSensors, 2019
Measurement using terrestrial laser scanning is performed at several stations to measure an entire object. In order to obtain a complete and uniform point cloud, it is necessary to register each and every scan in one local or global coordinate system ...
Anna Fryskowska
doaj   +1 more source

Haze Detection and Removal in Remotely Sensed Multispectral Imagery [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2014
Haze degrades optical data and reduces the accuracy of data interpretation. Haze detection and removal is a challenging and important task for optical multispectral data correction. This paper presents an empirical and automatic method for inhomogeneous haze detection and removal in medium- and high-resolution satellite optical multispectral images ...
Makarau, Aliaksei   +3 more
openaire   +2 more sources

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