Satellite Imagery as A Measure to Update SmartMap

Blogs >

Satellite Imagery as A Measure to Update SmartMap

9 February 2022

SmartMap is one of Malaysia’s most comprehensive maps where data update is released quarterly to our customers. The challenge that TM faces in updating SmartMap is to know where the data need to be updated. TM is exploring using satellite images to detect changes on the ground especially when there are new constructions.

Compare changes of map with algorithms for Satellite Imagery

TM has done research using three different algorithms in detecting changes on the ground.

The three algorithms are:

Mean Squared Error (MSE)
Structural Similarity Index (SSIM)
Image Hashing and Levenishtein Distance

Summary of the algorithm performance and accuracy result:

	Mean Squared Error (MSE)	Structural Similarity Index (SSIM)	Image Hashing and Levenishtein Distance
Performance (speed)	7ms	7.5ms	4.5ms
Accuracy (error)	52%	74%	21%
Summary	Among the three algorithms, Image Hashing apparently is the best algorithm that can be implemented to detect changes in satellite images because of its performance and accuracy.

Details research on detecting on the ground changes using satellite imagery can be read here.

Geocoding Made Easier With SmartMap API
Geocoding is the process of transforming a description of a location such as a pair of coordinates, ...

Geocode Address at SmartMap Portal and Load It to GIS Software
Geocoding and reverse geocoding data from Smartmap API can be used in GIS software, and a basemap la...

Methods to Gain Reliable and Accurate Geospatial Data in Tm Malaysia Map
Three categories of data sources were used by tm one for smartmap in order to ensure the accuracy an...

Blogs >