Snow Depths Survey by Aerial Photographs

Identifying Landforms and Soils by Aerial Photographs

In the process of analyzing aerial photographs to obtain information on the engineering characteristics of soils, the first and perhaps the most important step is to identify the landform. The landform may consist of hills, valleys, plains, terraces, beaches, dunes, and other topo­ graphic features largely created by the forces of erosion. The im­ portance of the landform lies in its relation t...

Truck Detection from Aerial Photographs

This paper presents a method for extraction and recognition of trucks from aerial photographs. A new method, mean shift image segmentation, is employed to extract truck shadow and boundary information. After a conversion of the boundaries into vector data, an enclosing minimum area rectangle is fit to each boundary. These rectangles are input as candidates into a designed Hopfield Neural Networ...

Color Restoration of Aerial Photographs

Visual Categorization with Aerial Photographs

This article investigates how people process information from aerial photographs to categorize locations. Three cognitive experiments were conducted with human subjects viewing a series of aerial photographs and categorizing the land use for target locations. Reaction time, accuracy, and confidence were considered as dependent variables related to the success of the categorization process. The ...

Automatic Segmentation of Aerial Photographs