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Farzaneh Dadrass Javan

University of Twente

Research Interests

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Articles (28)

Collaborators (4)

Ruhollah Taghizadeh-Mehrjardi

University of Tübingen

Hao Cheng

University of Twente

Bashar Alsadik

Associate professor of sensing and perception

Saxion University of Applied Sciences

Francesco Nex

Adjunct Professor (UHD1) at University of Twente

University of Twente

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Farzaneh Dadrass Javan

Research Interests

Explore related searches

Articles (28)

Collaborators (4)

Ruhollah Taghizadeh-Mehrjardi

Hao Cheng

Bashar Alsadik

Francesco Nex

Make your next move.

Farzaneh Dadrass Javan

Research Interests

Explore related searches

Articles (28)

Explainable few-shot learning workflow for detecting invasive and exotic tree species

Estimating soil organic carbon using time series Band 11 (SWIR) of multispectral Sentinel-2 satellite images and machine learning algorithms

Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis

EDU-UAV Photogrammetry Current Online Educational Landscape

Spatial-temporal patterns of agricultural drought severity in the Lake Urmia Basin Iran: A cloud-based integration of multi-temporal and multi-sensor remote sensing data

Ground Resolved Distance Estimation of Sentinel-2 Imagery Using Edge-based Scene-Driven Approach

Toward the optimal spatial resolution ratio for fusion of UAV and Sentinel-2 satellite imageries using metaheuristic optimization

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

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

Unmanned Aerial Geophysical Remote Sensing: A Systematic Review

De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning

Mathematical Camera Array Optimization for Face 3D Modeling Application

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

Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades

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

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

A New, Tentative, Modified YOLOv4 Deep Learning Network for Vision-Based UAV Recognition

CMGFNet

Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening

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

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

Commuters’ accessibility to transportation lifelines in Karaj city, Iran

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

Citrus orchard mapping in Juybar, Iran

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

Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI); 21-Year Drought Monitoring in Iran using Satellite Imagery within Google Earth Engine

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

A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery

Collaborators (4)

Ruhollah Taghizadeh-Mehrjardi

Hao Cheng

Bashar Alsadik

Francesco Nex

Make your next move.