Solar Energy Analysis, Buildings, Roofs

Chapter Contents (Back)
Building Recognition. Rooftop. Solar Energy. More the radiation analysis, not energy potential: See also Solar Radiation, Solar Irradiance, Measurements.

Huang, Y.[Yan], Chen, Z.Q.[Zuo-Qi], Wu, B.[Bin], Chen, L.[Liang], Mao, W.Q.[Wei-Qing], Zhao, F.[Feng], Wu, J.P.[Jian-Ping], Wu, J.[Junhan], Yu, B.L.[Bai-Lang],
Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data,
RS(7), No. 12, 2015, pp. 15877.
DOI Link 1601

López-Fernández, L.[Luis], Lagüela, S.[Susana], Picón, I.[Inmaculada], González-Aguilera, D.[Diego],
Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform,
RS(7), No. 9, 2015, pp. 11226.
DOI Link 1511
Automatic Analysis and Classification of the Roof Surfaces for the Installation of Solar Panels Using a Multi-Data Source and Multi-Sensor Aerial Platform,
DOI Link 1504

Schuffert, S.[Simon], Voegtle, T.[Thomas], Tate, N.[Nicholas], Ramirez, A.[Alberto],
Quality Assessment of Roof Planes Extracted from Height Data for Solar Energy Systems by the EAGLE Platform,
RS(7), No. 12, 2015, pp. 15866.
DOI Link 1601

Le, T.B.[Tuan B.], Kholdi, D.[Danial], Xie, H.J.[Hong-Jie], Dong, B.[Bing], Vega, R.E.[Rolando E.],
LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas,
RS(8), No. 3, 2016, pp. 247.
DOI Link 1604

Soilán, M.[Mario], Riveiro, B.[Belén], Liñares, P.[Patricia], Padín-Beltrán, M.[Marta],
Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Willenborg, B., Pültz, M., Kolbe, T.H.,
Integration of Semantic 3D City Models And 3D Mesh Models for Accuracy Improvements of Solar Potential Analyses,
DOI Link 1901

Mehta, S., Azad, A.P., Chemmengath, S.A., Raykar, V., Kalyanaraman, S.,
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels,
building integrated photovoltaics, computer vision, convolution, feedforward neural nets, image classification, Visualization BibRef

Buyuksalih, G., Bayburt, S., Baskaraca, A.P., Karim, H., Abdul Rahman, A.,
Calculating Solar Energy Potential of Buildings And Visualization Within Unity 3D Game Engine,
DOI Link 1805

Adeleke, A.K., Smit, J.L.,
Intergration Of Lidar Data With Aerial Imagery For Estimating Rooftop Solar Photovoltaic Potentials In City Of Cape Town,
ISPRS16(B7: 617-624).
DOI Link 1610

Aarsen, R., Janssen, M., Ramkisoen, M., Biljecki, F., Quak, W., Verbree, E.,
Installed Base Registration of Decentralised Solar Panels with Applications in Crisis Management,
DOI Link 1602

Nex, F., Remondino, F., Agugiaro, G., de Flippi, R., Poletti, M., Furlanello, C., Menegon, S., Dallago, G., Fontanari, S.,
3D Solarweb: A solar cadaster in the Italian Alpine landscape,
DOI Link 1402

Agugiaro, G., Nex, F., Remondino, F., de Filippi, R., Droghetti, S., Furlanello, C.,
Solar Radiation Estimation On Building Roofs And Web-based Solar Cadastre,
AnnalsPRS(I-2), No. 2012, pp. 177-182.
HTML Version. 1209

Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.,
Measurement of Large-scale Solar Power Plant by Using Images Acquired by Non-metric Digital Camera on Board UAV,
DOI Link 1209
Deformation measurements. BibRef

Lv, Y.[Yang], Zhang, X.F.[Xian-Feng], Liu, Y.[Yu],
Solar energy potential mapping at a building scale,
analyze potential shadowing BibRef

Jochem, A.[Andreas], Höfle, B.[Bernhard], Hollaus, M.[Markus], Rutzinger, M.[Martin],
Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas,
Laser09(1). 0909

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Buildings from Oblique Images .

Last update:Jan 25, 2019 at 17:55:53