Results 11 to 20 of about 1,270,932 (284)

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms

ISPRS International Journal of Geo-Information, 2022
Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linked to
Usman Ali, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Farhat Abbas, Mathieu F. Bilodeau   +5 more
doaj   +3 more sources

EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Scan2BIM approaches, i.e. the automated reconstruction of building models from point cloud data, is typically evaluated against the same point clouds which are used as input for the reconstruction process.
J. Schmidt, V. Volland, P. Hübner, D. Iwaszczuk, A. Eichhorn   +4 more
doaj   +1 more source

Design and Evaluation of a Crowdsourcing Precision Agriculture Mobile Application for Lambsquarters, Mission LQ

Agronomy, 2021
Precision agriculture is highly dependent on the collection of high quality ground truth data to validate the algorithms used in prescription maps. However, the process of collecting ground truth data is labor-intensive and costly.
Brianna B. Posadas, Mamatha Hanumappa, Kim Niewolny, Juan E. Gilbert   +3 more
doaj   +1 more source

Does Set Theory Really Ground Arithmetic Truth?

Axioms, 2022
We consider the foundational relation between arithmetic and set theory. Our goal is to criticize the construction of standard arithmetic models as providing grounds for arithmetic truth. Our method is to emphasize the incomplete picture of both theories
Alfredo Roque Freire
doaj   +1 more source

Defining and Evaluating Network Communities based on Ground-truth [PDF]

, 2012
Nodes in real-world networks organize into densely linked communities where edges appear with high concentration among the members of the community. Identifying such communities of nodes has proven to be a challenging task mainly due to a plethora of ...
Leskovec, Jure, Yang, Jaewon
core   +2 more sources

Approaching Peak Ground Truth

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
7pages, 2 figures (minor corrections to text, affiliations and layout)
Kofler, F., Wahle, J., Ezhov, I., Wagner, S., Al-Maskari, R., Gryska, E., Todorov, M.I., Bukas, C., Meissen, F., Peng, T., Ertürk, A., Rueckert, D., Heckemann, R., Kirschke, J., Zimmer, C., Wiestler, B., Menze, B., Piraud, M.   +17 more
openaire   +4 more sources

Parallel investigations of remote sensing and ground-truth Lake Chad's level data using statistical and machine learning methods

Applied Computing and Geosciences, 2023
Lake Chad is facing critical situations since the 1960s due to the effects of climate change and anthropogenic activities. The statistical analyses of remote sensing climate variables (i.e., evapotranspiration, specific humidity, soil temperature, air ...
Kim-Ndor Djimadoumngar
doaj   +1 more source

Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing [PDF]

, 2013
Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such ...
Ahmed, Anthes, Atjay, Avery, Baskerville, Blackard, Buonaccorsi, Chave, Crow, Crow, DeFries, Fisher, Freedman, Frieswyk, Gertner, Hall, Hocker, Honer, Jenkins, Jenkins, Jokela, Kathleen Bergen, Ker, Ker, Kindermann, Lambert, Mandelbrot, Niklas, Osawa, Parresol, Pastor, Pastor, Paul Siqueira, Perala, Phillips, Razi Ahmed, Rosenqvist, Schmitt, Scott Hensley, Smith, Stout, Ter-Mikaelian, Toan, Tritton, West, Whittaker, Wiant, Young, Zeide   +48 more
core   +3 more sources

A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning

IEEE Access, 2023
Multi-view partial multi-label learning (MVPML) is a fundenmental problem where each sample is linked to multiple kinds of features and candidate labels, including ground-truth and noise labels.
Jiazheng Yuan, Wei Liu, Zhibin Gu, Songhe Feng   +3 more
doaj   +1 more source

Automated analysis of radar imagery of Venus: handling lack of ground truth [PDF]

, 1994
Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft.
Burl, M. C., Fayyad, Usama M., Perona, Pietro, Smyth, Padhraic   +3 more
core   +1 more source