فرهاد صمدزادگان

1. Object-based strategy for generating high-resolution four-dimensional thermal surface models of buildings based on integration of visible and thermal unmanned aerial vehicle imagery

Fallah Alaleh، Samadzadegan Farhad، Dadrass Javan Farzaneh (2024)., Journal of Applied Remote Sensing, 18(3).

2. Exploring the Potential of PRISMA Satellite Hyperspectral Image for Estimating Soil Organic Carbon in Marvdasht Region, Southern Iran

Golkar Amoli Mehdi، Hasanlou Mahdi، Faghizadeh-Mehrjerdi Ruhollah، Samadzadegan Farhad (2024)., Remote Sensing, 16(12), 2149.

3. Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery

Samadzadegan Farhad، Dadrass Javan Farzaneh، Ashtari Mahini Farnaz، Gholamshahi Mehrnaz، Nex Francesco (2024)., drones, 8(6).

1. Empowering Students With Geospatial Solutions Through Challenge Based Learning

Dadrass Javan Farzaneh، Samadzadegan Farhad (2023)., SEFI2023, 11-14 September, Dublin, Ireland.

2. Automatic built-up area extraction by feature-level fusion of Luojia 1–01 nighttime light and Sentinel satellite imageries in Google Earth Engine

Samadzadegan Farhad، Toosi Ahmad، Dadrass Javan Farzaneh (2023)., ADVANCES IN SPACE RESEARCH, 72(4), 1052-1069.

3. ARCHITECTURAL HERITAGE 3D MODELLING USING UNMANNED AERIAL VEHICLES MULTI-VIEW IMAGING

Samadzadegan Farhad، Dadrass Javan Farzaneh، زینال پور اصل مریم (2023)., ARCHITECTURAL HERITAGE 3D MODELLING USING UNMANNED AERIAL VEHICLES MULTI-VIEW IMAGING, 25-30 June, Florence, Italy.

2. Building change detection using the parallel spatial-channel attention block and edge-guided deep network

Eftekhari Akram، Samadzadegan Farhad، Dadrass Javan Farzaneh (2023)., International Journal of Applied Earth Observation and Geoinformation, 117(1), 103180.

3. BUILDING CHANGE DETECTION BY W-SHAPE RESUNET++ NETWORK WITH TRIPLE ATTENTION MECHANISM

Eftekhari Akram، Samadzadegan Farhad، Dadrass Javan Farzaneh (2023)., SMPR, 19-22 February, Tehran, Iran.

4. DECISION-BASED FUSION OF PANSHARPENED VHR SATELLITE IMAGES USING TWO-LEVEL ROLLING SELF-GUIDANCE FILTERING AND EDGE INFORMATION

Samadzadegan Farhad، Toosi Ahmad، Dadrass Javan Farzaneh، Stein Alfred (2023)., DECISION-BASED FUSION OF PANSHARPENED VHR SATELLITE IMAGES USING TWO-LEVEL ROLLING SELF-GUIDANCE FILTERING AND EDGE INFORMATION, 19-22 February, Tehran, Iran.

5. EVALUATION OF THE POTENTIAL OF AERIAL THERMAL IMAGERY TO GENERATE 3D POINT CLOUDS

Alebooye Langroodi Saeideh، Samadzadegan Farhad، Dadrass Javan Farzaneh (2023)., SMPR, 19-22 February, Tehran, Iran.

6. IMPROVING SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES USING WASSERSTEIN GENERATIVE ADVERSARIAL NETWORK

hosseinpour hamidreza، Samadzadegan Farhad، Dadrass Javan Farzaneh، Motayyeb Soroush (2023)., SMPR, 19-22 February, Tehran, Iran.

7. EFFECT OF KEYFRAMES EXTRACTION FROM THERMAL INFRARED VIDEO STREAM TO GENERATE DENSE POINT CLOUD OF THE BUILDING'S FACADE

Motayyeb Soroush، Samadzadegan Farhad، Dadrass Javan Farzaneh، hosseinpour hamidreza (2023)., SMPR, 19-22 February, Tehran, Iran.

8. AUTOMATIC ROAD CRACK RECOGNITION BASED ON DEEP LEARNING NETWORKS FROM UAV IMAGERY

Samadzadegan Farhad، Dadrass Javan Farzaneh، Hasanlou Mahdi، Gholamshahi Mehrnaz، Ashtari mahini Farnaz (2023)., ISPRS GeoSpatial Conference 2022, Joint 6th Sensors and Models in Photogrammetry and Remote Sensing (SMPR) and 4th Geospatial Information Research (GIResearch) Conferences, 14-16 January, Tehran, Iran.

9. An improved algorithm for small and low-intensity fire detection in the temperate deciduous forests using MODIS data: a preliminary study in the Caspian Forests of Northern Iran

Pourshakouri Allahdeh Farrokh، Darvish Sefat Ali Asghar، Samadzadegan Farhad، Attarod Pedram، amini saeed (2022)., NATURAL HAZARDS, 14(4).

10. A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas

Pourazar Seyyed Hossein، Samadzadegan Farhad، Dadrass Javan Farzaneh (2022)., Geocarto International, 37(23), 6695-6712.

11. Potential evaluation of visible-thermal UAV image fusion for individual tree detection based on convolutional neural network

Moradi Fatem، Dadrass Javan Farzaneh، Samadzadegan Farhad (2022)., International Journal of Applied Earth Observation and Geoinformation, 113(1), 103011.

12. A Modified YOLOv4 Deep Learning Network for Vision-Based UAV Recognition

Dadrass Javan Farzaneh، Samadzadegan Farhad، Gholamshahi Mehrnaz، Ashtari mahini Farnaz (2022)., drones, 6(7), 160.

13. Intensifying the spatial resolution of 3D thermal models from aerial imagery using deep learning-based image super-resolution

Fallah Alaleh، Samadzadegan Farhad، Dadrass Javan Farzaneh (2022)., Geocarto International, 37(26), 13518-13538.

14. A Novel Boundary Loss Function in Deep Convolutional Networks to Improve the Buildings Extraction From High-Resolution Remote Sensing Images

hosseinpour hamidreza، Samadzadegan Farhad، Dadrass Javan Farzaneh (2022)., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15(1), 4437-4454.

2. CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images

hosseinpour hamidreza، Samadzadegan Farhad، Dadrass Javan Farzaneh (2022)., ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 184(1), 96-115.

3. Detection and Recognition of Drones Based on a Deep Convolutional Neural Network Using Visible Imagery

Samadzadegan Farhad، Dadrass Javan Farzaneh، Ashtari mahini Farnaz، Gholamshahi Mehrnaz (2022)., Aerospace, 9(1), 31.

4. Precise 3D extraction of building roofs by fusion of UAV-based thermal and visible images

Dahaghin Mitra، Samadzadegan Farhad، Dadrass Javan Farzaneh (2021)., INTERNATIONAL JOURNAL OF REMOTE SENSING, 42(18), 7002-7030.