Ability to explore and mine land use/land cover (LULC) maps having high resolution and large spatial extent could significantly enhance the value of such datasets. In this paper we present a method for retrieval of alike scenes from large LULC datasets. Alikeness between the two scenes is defined as similarity between their spatial patterns of class labels. Our method works on the principle of query-by-example; the inputs are the LULC map and a reference scene and the output is a similarity map indicating a degree of alikeness between a given location on the map and the reference scene. The similarity measure is described and its applicability to th
Technological evolution in the remote sensing domain has allowed the acquisition of large archives o...
Traditionally, remote sensing has employed pixel-based classification techniques to deal with Land U...
Land use and land cover (LULC) mapping is a basic research topic in geography. In deep-learning (DL)...
Abstract—Query by image content (QBIC) tools are in demand in geospatial community because they enab...
The management and application of remotely sensed data has become much more difficult due to the dra...
We introduce landscape similarity- a numerical measure that assesses affinity between two landscapes...
Abstract: 3D terrain data have been used for various systems such as navigation and landscape analy...
The transformation from forest and rural to developed land is growing dramatically worldwide. A meas...
Land cover (LC) is an essential variable for environmental monitoring in many application domains. T...
High resolution remote sensed image data continues to become more accessible. One consequence of thi...
Abstract. Land use and land cover (LULC) maps are remote sensing products that are used to classify ...
The constraint database model has recently been proposed as a promising framework to model continuou...
Important task when trying to find patterns in applications involving mining different types of data...
Land cover datasets are generally produced from satellite imagery using state-of-the-art model-based...
Mapping of land cover structures using satellite images is a tedious task, which often requires manu...
Technological evolution in the remote sensing domain has allowed the acquisition of large archives o...
Traditionally, remote sensing has employed pixel-based classification techniques to deal with Land U...
Land use and land cover (LULC) mapping is a basic research topic in geography. In deep-learning (DL)...
Abstract—Query by image content (QBIC) tools are in demand in geospatial community because they enab...
The management and application of remotely sensed data has become much more difficult due to the dra...
We introduce landscape similarity- a numerical measure that assesses affinity between two landscapes...
Abstract: 3D terrain data have been used for various systems such as navigation and landscape analy...
The transformation from forest and rural to developed land is growing dramatically worldwide. A meas...
Land cover (LC) is an essential variable for environmental monitoring in many application domains. T...
High resolution remote sensed image data continues to become more accessible. One consequence of thi...
Abstract. Land use and land cover (LULC) maps are remote sensing products that are used to classify ...
The constraint database model has recently been proposed as a promising framework to model continuou...
Important task when trying to find patterns in applications involving mining different types of data...
Land cover datasets are generally produced from satellite imagery using state-of-the-art model-based...
Mapping of land cover structures using satellite images is a tedious task, which often requires manu...
Technological evolution in the remote sensing domain has allowed the acquisition of large archives o...
Traditionally, remote sensing has employed pixel-based classification techniques to deal with Land U...
Land use and land cover (LULC) mapping is a basic research topic in geography. In deep-learning (DL)...