Alper Emek

Gis Developer

Alper Emek

Project Portfolio

Building Detection From Sar Images Using U-Net Deep Learning Model

Pre-processing steps were developed to create a classification mask. Unet (CNN based) algorithm is used in the project. Used libraries : keras, numpy, scikit-image, geopandas, sklearn, rasterio. It published on ISPRS archives.

Rochester City Real Estate Web Application

As part of the 2020 Supermap international contest, an online real estate map web service was developed. We won first prize in the developer category at the end of the competition with Görkem Acar.

Image Classification Interface: Phyton And K-Means Method

My undergraduate thesis. We develop desktop application that makes satellite image segmentation. The interface created in this project will also can be added as a toolbox to the Python language based GIS software.

Who I am

GIS and Remote Sensing Msc. Student

Enthusiastic geomatic and GIS software engineer participating in the complete product development lifecycle of successfully launched applications. I think analytically and produces solutions using the spatial knowledge acquired during my education. Making positive impact with maps!