Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data

Urban tree species mapping using hyperspectral and lidar data fusion

Tree Species Typing in Temperate Forests using Hyperspectral data of Hyperion EO-1 in western Himalayas

A few dominant tree species in temperate forests of western Himalayas have been mapped using Hyperion data. The data was processed for removing atmospheric distortions using FLAASH before classification. The replicate spectral profiles were collected in ground using field spectrometer (ASD) during same season for classification. Reconnaissance survey was conducted to locate populations or suffi...

Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data

Accurate classification of tree-species is essential for sustainably managing forest resources and effectively monitoring species diversity. In this study, we used simultaneously acquired hyperspectral and LiDAR data from LiCHy (Hyperspectral, LiDAR and CCD) airborne system to classify tree-species in subtropical forests of southeast China. First, each individual tree crown was extracted using ...

Dense Fully Convolutional Network for Skin Lesion Segmentation

Skin cancer is a deadly disease and is on the rise in the world. Computerized diagnosis of skin cancer can accelerate the detection of this type of cancer that is a key point in increasing the survival rate of patients. Lesion segmentation in skin images is an important step in computerized detection of the skin cancer. Existing methods for this aim usually lack accuracy especially in fuzzy bor...

Tree species mapping in tropical forests using multi-temporal imaging spectroscopy: Wavelength adaptive spectral mixture analysis

The use of imaging spectroscopy for florisic mapping of forests is complicated by the spectral similarity among co-existing species. Here we evaluated an alternative spectral unmixing strategy combining a time series of EO-1 Hyperion images and an automated feature selection in Multiple Endmember Spectral Mixture Analysis (MESMA). The temporal analysis provided a way to incorporate species phen...