Image Characterization And Modeling System (ICAMS)

ICAMS processes remote sensing imagery to extract relevant spatial information. Several analytical methods are implemented: wavelet methods, fractal and lacunarity methods. ICAMS was developed in C++ by Wei Zhao, Guiyun Zhou, and Wenxue Ju based on research grants under Dr. Nina Lam and co-PIs.

In order to access the software, please fill out this form. Upon completing the form we will ask you to send an email confirmation of your request with your name, affiliation, position, a complete valid address, and phone number to Dr. Nina Lam. We will send you the passcode to access the download link once we receive your request confirmation.

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Please see a list of publications for ICAMS citation:

Any publications or reports that use the results from ICAMS should have proper citation(s). Some of the suggested references are:

Lam NS-N, Cheng W, Zou L, Cai H (2018) Effects of landscape fragmentation on land loss. Remote Sensing of Environment 209:253–262. Cite
Ju W, Lam NS-N (2009) An improved algorithm for computing local fractal dimension using the triangular prism method. Computers & Geosciences 35:1224–1233. Cite Download Download
Lam N, Zhou G, Ju W, et al (2008) Relating Visual Changes in Images with Spatial Metrics. In: Understanding Dynamics of Geographic Domains Cite Download
Zhou G, Lam NS-N (2008) Reducing Edge Effects in the Classification of High Resolution Imagery. photogramm eng remote sensing 74:431–441. Cite Download
Emerson CW, Chinniah S, Lam NS-N, Quattrochi DA (2007) Spatial and Grayscale Metadata for Similarity Searches of Image Databases. GIScience & Remote Sensing 44:182–201. Cite Download
Myint SW, Mesev V, Lam N (2006) Urban Textural Analysis from Remote Sensor Data: Lacunarity Measurements Based on the Differential Box Counting Method. Geographical Analysis 38:371–390. Cite Download Download
Myint SW, Lam N (2005) Examining Lacunarity Approaches in Comparison with Fractal and Spatial Autocorrelation Techniques for Urban Mapping. photogramm eng remote sensing 71:927–937. Cite Download
Zhou G, Lam NS-N (2005) A comparison of fractal dimension estimators based on multiple surface generation algorithms. Computers & Geosciences 31:1260–1269. Cite Download Download
Kulkarni A (2004) Evaluation of the impacts of Hurricane Hugo on the land cover of Francis Marion National Forest, South Carolina using remote sensing. LSU Master’s Theses Cite Download
Lam NS-N, Qiu H, Quattrochi DA, Emerson CW (2002) An Evaluation of Fractal Methods for Characterizing Image Complexity. Cartography and Geographic Information Science 29:25–35. Cite Download Download
Lam NS, Quattrochi D, Qiu H, Zhao W (1998) Environmental assessment and monitoring with image characterization and modeling system using multiscale remote sensing data. Applied Geographic Studies 2:77–93.<77::AID-AGS1>3.0.CO;2-O Cite Download
Quattrochi DA, Lam NNS, Qiu H, Zhao W (1997) Image Characterization and Modeling System (ICAMS): A Geographic Information System for the Characterization and Modeling of Multiscale Remote Sensing Data. In: Quattrochi DA, Goodchild MF (eds) Scale in remote sensing and GIS. Lewis Publishers, Boca Raton, Fla Cite Download