Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract Terrain is generally stored in GIS as an elevation field, whereas human cognition of the landscape is usually object based. To address this mismatch of terrain data models,  propose object-based terrain representation, using topographic eminences, which are landforms that rise up conspicuously from the ground to visibly dominate the landscape, to illustrate our case.  propose a cognition-based methodology for automated detection and delineation of eminences from digital elevation models (DEMs). Alternative conceptualizations of the landscape can be realized by simple manipulation of intuitive parameters such as a peak's relative height and distance. Our approach delimits the extent of eminences based purely on topographic gradient and aspect, much like the delineation of ridges as watershed boundaries. Smaller eminences can be incrementally aggregated into larger cognitive wholes, enabling scale-sensitive landscape reconstruction. The ability to integrate field and object views of the landsca...
['Gaurav Sinha', 'David M. Mark']
I am writing a research paper on a idea Cognition-Based Extraction and Modelling of Topographic Eminences
[{"from": "human", "value": "I am writing a research paper on a idea Cognition-Based Extraction and Modelling of Topographic Eminences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract Terrain is generally stored in GIS as an elevation field, whereas human cognition of the landscape is usually object based. To address this mismatch of terrain data models,  propose object-based terrain representation, using topographic eminences, which are landforms that rise up conspicuously from the ground to visibly dominate the landscape, to illustrate our case.  propose a cognition-based methodology for automated detection and delineation of eminences from digital elevation models (DEMs). Alternative conceptualizations of the landscape can be realized by simple manipulation of intuitive parameters such as a peak's relative height and distance. Our approach delimits the extent of eminences based purely on topographic gradient and aspect, much like the delineation of ridges as watershed boundaries. Smaller eminences can be incrementally aggregated into larger cognitive wholes, enabling scale-sensitive landscape reconstruction. The ability to integrate field and object views of the landsca..."}]