Results 21 to 30 of about 179,456 (304)

AerialWaste dataset for landfill discovery in aerial and satellite images

Scientific 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

Dizhi 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, ZUO Ling, LI Zhizhong, MU Huayi, ZHOU Ping, YANG Jiajia, ZHAO Yingjun, QIN Kai   +7 more
doaj   +1 more source

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

Sensors, 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

IEEE 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, Xuan Pei, Qin Huang, Licheng Jiao, Ronghua Shang, Naresh Marturi   +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

ISPRS 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]

The 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

Linking goniometer measurements to hyperspectral and multi-sensor imagery for retrieval of beach properties and coastal characterization [PDF]

, 2012
In June 2011, a multi-sensor airborne remote sensing campaign was flown at the Virginia Coast Reserve Long Term Ecological Research site with coordinated ground and water calibration and validation (cal/val) measurements.
Abelev, Andrei, Bachmann, Charles M, Fusina, Robert A, Gardner, Joan, Georgiev, Georgi, Gray, Deric, Kilmon, Marcus, Korwan, Daniel, Li, Rong-Rong, Miller, David W, Montes, Marcos J, Musser, Joseph, Parrish, Christopher, Philpot, William D, Schwarzschild, A., Sellars, Jon, Sletten, Matt, Smith, Geoffrey, Snow, Charlotte, Truitt, Barry, Vermillion, Michael, Woolard, Jason   +21 more
core   +2 more sources

Geodatabase Development to Support Hyperspectral Imagery Exploitation [PDF]

, 2010
Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI).
Bachmann, Charles M, Fry, John C, Fusina, Robert A, Gross, Carl, Jones, Christopher A, Lee, Krista, Li, Rong-Rong, Montes, Marcos J, Nichols, C Reid, Parrish, Christopher, Sellars, Jon, White, Stephen A   +11 more
core   +2 more sources

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

Sensors, 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

Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]

, 2019
Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing Imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task.
Bondarev, Egor, de With, Peter H. N., Imbriaco, Raffaele, Sebastian, Clint   +3 more
core   +3 more sources