Publications
You can also find my articles on my Google Scholar profile.
2024
Nyandwi, E., Gerke, M. & Achanccaray, P. Local Evaluation of Large-scale Remote Sensing Machine Learning-generated Building and Road Dataset: The Case of Rwanda. PFG (2024), DOI:10.1007/s41064-024-00297-9
Heinrich, A., Mende, V., Wesche, L., & Achanccaray, P. (2024). Database of recorded serial manufactured MLK-buildings (GDR) (Release 2) [Data set], DOI:10.24355/dbbs.084-202403130624-0
A. Alamouri, J. Backhaus, V. De Arriba López, P. M. Achanccaray Diaz, M. Gerke. High-Resolution Data Capture and Interpretation in Support of Port Infrastructure Maintenance,DGPF-Jahrestagung, 2024.
M. Gerke, P. M. Achanccaray Diaz, S. Fekete, M. Figge, N. Fohrer, S. Giutronich, P. Keldenich, S. Lutz, M. Perk, A. Reinhardt, C. Richter, C. Rieck, B. Riedel, T. Riedemann, F. Saba, K. Schrader, A. Schröter, D. Szafranski, A. Taghavi, P. Wagner. Extremwettermanagement mit digitalen Multiskalen-Methoden: Das EXDIMUM-Projekt,DGPF-Jahrestagung, 2024.
2023
Achanccaray, P., Gerke, M., Wesche, L., Hoyer, S., Thiele, K., Knufinke, U., and Krafczyk, C.: On the assessment of instance segmentation for the automatic detection of specific constructions from very high resolution airborne imagery, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W2-2023, 1303–1309, DOI: 10.5194/isprs-archives-XLVIII-1-W2-2023-1303-2023, 2023
Wesche, L., Achanccaray Diaz, P., Hoyer, S., Knufinke, U., Gerke, M., Krafczyk, C., & Thiele, K. (2023). Dataset of german steel system halls from the period of high modernism [Data set], DOI: 10.24355/dbbs.084-202305261242-0
Leonhard Wesche, Sebastian Hoyer, Ulrich Knufinke, Pedro Achanccaray, Christina Krafczyk, Markus Gerke and Klaus Thiele. Technologien für die Baudenkmalpflege: Erfassung und Analyse von Systemhallen der Hochmoderne, in: Berichte zur Denkmalpflege in Niedersachsen 43 (2023), 2, pp. 61-65
Wesche, L., Achanccaray, P., Hoyer, S. (2023). Serielle Gebäude und wie man sie findet - Eine Methodik der Künstlichen Intelligenz zur Gebäudeerfassung. In Gisbertz, O., Escherich, M., Hoyer, S., Putz, A., Weber, C. & DFG-Netzwerk Bauforschung Jüngere Baubestände 1945+ (Ed.). Reallabor Nachkriegsmoderne: Zum Umgang mit jüngeren Denkmalen. JOVIS Verlag GmbH
Achanccaray, P., Gerke, M., Wesche, L., Hoyer, S., Thiele, K., Knufinke, U., Krafczyk, C. Automatic Detection of Specific Constructions on a Large Scale Using Deep Learning in Very High Resolution Airborne Imagery. Journal of Photogrammetry, Remote Sensing and Geoinformation science – PFG 91, pp. 189-209 (2023), DOI:10.1007/s41064-023-00237-z
2022
- Achanccaray, Pedro, Gerke, Markus, Hoyer, Sebastian, Knufinke, Ulrich, Krafczyk, Christina, Thiele, Klaus and Wesche, Leonhard. “Deep Learning in der Denkmal-Inventarisation: Zur automatisierten luftbildbasierten Erfassung von Systembauwerken” Die Denkmalpflege, 80, no. 2, 2022, pp. 162-16. DOI:10.1515/DKP-2022-2013
- Heinrich, A., Mende, V., Wesche, L., & Achanccaray, P. (2022). Database of recorded serial manufactured MLK-buildings (GDR) (Release 1) [Data set], DOI:10.24355/dbbs.084-202206080745-0
- Ramirez, W., Achanccaray, P. & Pacheco, M.A. A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images. Discov Artif Intell 2, 1 (2022). DOI:10.1007/s44163-022-00017-5
2021
- Bento, V., Kohler, M., Diaz, P. et al. Improving deep learning performance by using Explainable Artificial Intelligence (XAI) approaches. Discov Artif Intell 1, 9 (2021). DOI:10.1007/s44163-021-00008-y
2020
- Sanches, I. D., Feitosa, R. Q., Montibeller, B., Achanccaray Diaz, P. M., Luiz, A. J. B., Soares, M. D., Prudente, V. H. R., Vieira, D. C., Maurano, L. E. P., Happ, P. N., Chamorro, J., and Oldoni, L. V.: First results of the LEM benchmark database for agricultural applications, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 251–256, DOI:10.5194/isprs-archives-XLIII-B5-2020-251-2020, 2020
- Ramirez, W., Achanccaray, P., Mendoza, L. F., and Pacheco, M. A. C.: Deep convolutional neural networks for weed detection in agricultural crops using optical aerial images, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 551–555, DOI:10.5194/isprs-archives-XLII-3-W12-2020-551-2020, 2020
- Soares, Marinalva Dias, Luciano Vieira Dutra, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Rogério Galante Negri, and Pedro Diaz. A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery. Remote Sensing 12, no. 6 (2020): 961, DOI:10.3390/rs12060961
2019
- Sothe, Camile, Cláudia Maria De Almeida, Marcos Benedito Schimalski, Veraldo Liesenberg, and Pedro Achanccaray Diaz. Automatic tuning of segmentation parameters for tree crown delineation with VHR imagery. Geocarto International (2019): 1-19, DOI:10.1080/10106049.2019.1690056
2018
- Sanches, I. D., R. Q. Feitosa, P. Achanccaray, B. Montibeller, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, and L. E. P. Maurano. LEM benchmark database for tropical agricultural remote sensing application. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences 42, no. 1 (2018), DOI: 10.5194/isprs-archives-XLII-1-387-2018
- Sanches, Ieda Del’Arco, Raul Queiroz Feitosa, Pedro Marco Achanccaray Diaz, Marinalva Dias Soares, Alfredo José Barreto Luiz, Bruno Schultz, and Luis Eduardo Pinheiro Maurano. Campo verde database: Seeking to improve agricultural remote sensing of tropical areas. IEEE Geoscience and Remote Sensing Letters 15, no. 3 (2018): 369-373, DOI: 10.1109/LGRS.2017.2789120
2017
- Cué, L. E.; Bermudez, J. D.; Achanccaray, P.; Sanches, I. D.; Happ, P. N.; Feitosa, R. Q. A comparative analysis of deep learning techniques for crop type recognition in temperate and tropical regions from multitemporal SAR image sequences. Anais do XXVII Congresso Brasileiro de Cartografia e XXVI Exposicarta 6 a 9 de novembro de 2017, SBC, Rio de Janeiro – RJ, p. 730-734
- Bermúdez, J. D.; Achanccaray, P.; Sanches, I. D.; Cue, L.; Happ, P.; Feitosa, R. Q. Evaluation of recurrent neural networks for crop recognition from multitemporal remote sensing images. Anais do XXVII Congresso Brasileiro de Cartografia e XXVI Exposicarta 6 a 9 de novembro de 2017, SBC, Rio de Janeiro – RJ, p. 800-804
- Bermudez, J.; Feitosa, Raul Q.; Cue, L.; Achanccaray, P.; Sanches, I. D. A comparative analysis of deep learning techniques for sub-tropical crop types recognition from multitemporal Optical/SAR image sequences. In: 2017 30TH SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), p. 382–389, Oct 2017, DOI: 10.1109/SIBGRAPI.2017.57
- Achanccaray, P.; Feitosa, R. Q.; Rottensteiner, F.; Sanches, I. A.; Heipke, C. Spatial-temporal conditional random field based model for crop recognition in tropical regions. In: IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2017, Fort Worth. IGARSS 2017 Proceedings, 2017. p. 3007-3010, DOI: 10.1109/IGARSS.2017.8127631
- Achanccaray, P.; Feitosa, R. Q.; Rottensteiner, F.; Sanches, I. A.; Heipke, C. Spatio-temporal Conditional Random Fields for recognition of sub-tropical crop types from multi-temporal images. In: XVIII Simpósio Brasileiro de Sensoriamento Remoto SBSR, 2017, Santos. p. 2539-2546
2016
- Vega, Pedro J. Soto; Quirita, Victor A. Ayma; Achanccaray, Pedro M.; Tanscheit, Ricardo; Vellasco, Marley. A fuzzy inference system for multispectral image classification. In: 2016 IEEE ANDESCON, 2016, Arequipa. 2016 IEEE ANDESCON, 2016. p. 1-4, DOI:10.1109/ANDESCON.2016.7836268
- Happ, P. N.; Ferreira, R. S.; Costa, G. A. O. P.; Feitosa, R. Q.; Bentes, C.; Farias, R.; Achanccaray, P. M. InterSeg: A Distributed Image Segmentation Tool. In: GEOBIA 2016: Solutions and Synergies, Enschede. Netherlands. University of Twente Faculty of Geo-Information and Earth Observation, 2016, DOI: 10.3990/2.450
- Ayma Quirita, Victor Andres; Achanccaray Diaz, Pedro; Feitosa, Raul Q.; Happ, Patrick N.; Costa, Gilson A. O. P.; Klinger, Tobias; Heipke, Christian. Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation. IEEE Geoscience and Remote Sensing Letters (Print), v. 13(9), p. 1364-1368, 2016, DOI:10.1109/LGRS.2016.2586499
- Diaz, P. M. A., Feitosa, R. Q., Sanches, I. D., and Costa, G. A. O. P.: A Method to estimate temporal interaction in a conditional random field based approach for crop recognition, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 205-211, DOI:10.5194/isprs-archives-XLI-B7-205-2016, 2016
2015
- Jimenez, Luis Ignacio; Plaza, Antonio; Ayma, Victor Andres; Achanccaray, Pedro; Costa, Gilson A.O.P.; Queiroz Feitosa, Raul. Segmentation as postprocessing for hyperspectral image classification. In: IEEE EUROCON 2015 International Conference on Computer as a Tool (EUROCON), 2015, Salamanca, Spain. p. 1-4, DOI:10.1109/EUROCON.2015.7313746
- Achanccaray, P.; Ayma, V. A.; Jimenez, L. I.; Garcia, S. B.; Happ, P. N.; Costa, G. A. O. P.; Feitosa, R. Q.; Plaza, A. SPT 3.1: A free software for automatic tuning of segmentation parameters in Optical, Hyperspectral and SAR images. In: International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015), Milan, Italy. p. 4332-4335, DOI:10.1109/IGARSS.2015.7326785
- Jimenez, L. I.; Ayma, V. A.; Achanccaray, P.; Costa, G. A. O. P.; Feitosa, R. Q.; Plaza, A. Segmentation as post processing for hyperspectral image classification. In: International Geoscience and Remote Sensing Symposium 2015 (IGARSS 2015), Milan, Italy. p. 3723-3726; DOI:10.1109/IGARSS.2015.7326632
- Achanccaray, P.; Ayma, V. A.; Jimenez, L. I.; Garcia, S. B.; Happ, P. N.; Feitosa, R. Q.; Plaza, A. SPT 3.0: A free software for automatic segmentation parameters tuning. In: Simposio Brasileiro De Sensoriamento Remoto, 17. (SBSR), 2015, João Pessoa, PB. Anais do 17mo Simpósio Brasileiro de Sensoriamento Remoto, João Pessoa, PB: INPE, 2015. p. 5578-5581
2014
- Achanccaray, P.; Ayma, V. A.; Jimenez, L.; Garcia, S.; Happ, P.; Feitosa, R. Q.; Plaza, A., A free software tool for Automatic Tuning of Segmentation Parameters. South-Eastern European Journal of Earth Observation and Geomatics, vol. 3, pp. 707-712, 2014