The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Search conference papers
Download
PDF XML
Citation
Articles | Volume XLII-4/W18
Articles | Volume XLII-4/W18
https://doi.org/10.5194/isprs-archives-XLII-4-W18-659-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-4-W18-659-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume XLII-4/W18
18 Oct 2019
 | 18 Oct 2019

DROUGHT ASSESSMENT OF IRAN USING THE MDI INDEX

I. Kordpour, S. Farzaneh, and R. Shahhoseini

Related authors

SEGMENTATION OF ELECTRICAL SUBSTATIONS USING DEEP CONVOLUTIONAL NEURAL NETWORK
M. Mesvari and R. Shah-Hosseini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 495–500, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-495-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-495-2023, 2023
EFFECT OF TRANSFERRING PRE-TRAINED WEIGHTS ON A SIAMESE CHANGE DETECTION NETWORK
M. Aghdami-Nia, R. Shah-Hosseini, and M. Salmani
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 19–24, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-19-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-19-2023, 2023
OIL SPILL DETECTION IN THE CASPIAN SEA WITH A SAR IMAGE USING A DENSENET MODEL
F. Barzegar, S. T. Seydi, S. Farzaneh, and M. A. Sharifi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 95–100, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-95-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-95-2023, 2023
EXTRACTION OF FLOOD-AFFECTED AGRICULTURAL LANDS IN THE GOOGLE EARTH ENGINE; CASE STUDY OF KHUZESTAN, IRAN
P. Dodangeh and R. Shah-Hosseini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 123–128, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-123-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-123-2023, 2023
AUTOMATIC CORN AND SOYBEAN MAPPING BASED ON DEEP LEARNING METHODS (CASE STUDY: HAMILTON, HARDIN, BOONE, STORY, DALLAS, POLK, AND JUSPER COUNTIES IN LOWA STATE)
M. Fathi and R. Shah-Hosseini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 187–193, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-187-2023,https://doi.org/10.5194/isprs-annals-X-4-W1-2022-187-2023, 2023
More articles (8)