Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs

Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs

Remote sensing plays a critical role in mapping and monitoring mangroves. Aerial photographs and visual image interpretation techniques have historically been known to be the most common approach for mapping mangroves and species discrimination. However, with the availability of increased spectral resolution satellite imagery, and advances in digital image classification algorithms, there is no...

Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 Images

Previous research studies have demonstrated that the relationship between remote sensing-derived parameters and aboveground biomass (AGB) could vary across different species types. However, there are few studies that calibrate reliable statistical models for mangrove AGB. This study quantifies the differences of accuracy in AGB estimation between the results obtained with and without the consid...

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 ...

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