Binh Tan AI
Illegal Construction Detection App

TARGETS

ISSUES

TECHNICAL SOLUTIONS

Low accuracy build-up area classification by ArcMap

Long update interval of satellite imagery

Depend on Google Earth source

Potential illegal construction areas detection is still manual

Adjust satellite images coordinates using ArcMap

Build-up area classification

Current solution

Use Maximum Likelihood Classification tool + signature file --> raster

Use Raster to Polygon tool in ArcMap --> Polygon Vectors

Imagery resolution

Aerial imagery sources

Free

SPOT 5

Google Earth/Maxar

LIDAR Projects

Range: 2009-2022

Range: 2010

Best: 0.3 m

Fee

Range: 2012 & 2019

PlanetScope

SPOT 6

Acceptable: 3 m

SPOT 7

Resolution: 1.5 m

Resolution: 0.1 m

Resolution: 0.3 m

Resolution: 10 m

Good: 1 m

Depend on specialist to generate build-up area map

Find satellite imagery source with high resolution for the years before 2009

High accuracy build-up area classification algorithm

Develop an AI algorithm that allows government staff to generate build-up area maps

Develop an AI algorithm that detects potential illegal construction areas automatically

Future solution

Collects training samples --> signature file

Minimal data labelling cost

Can use a better algorithms that can detect more than 70% illegal constructions

More interactive web app

Can export data to CAD/GIS file formats

Reuse data label when changing to a new data source

Easy to change a new algorithm in the future

IKONOS

Quick Bird

Resolution: 1.5 m

Resolution: 0.8 m

Resolution: 3 m

Rapid Eye

Resolution: 5 m

Resolution: 0.6 - 0.72 m

2009 – 2019

$1.28/km2

2002 – 2013

$17.50/km2

Từ 2015

$4.75/km2

Từ 2012

$4.75/km2

$1.80/km2

Từ 2017

2000 – 2014

$10.00/km2