Machine learning driven medical image segmentation has become standard in analysis. However, deep models are prone to overconfident predictions. This lead a renewed focus on calibrated predictions the imaging and broader machine communities. Calibrated estimates of probability label that correspond true expected value conditioned confidence. Such have utility range applications, including surgi...

A radar-based method for producing both land-cover classification and stem volume estimates for the forested areas is demonstrated. The method utilizes multi-temporal INSAR data that is segmented into quasi-homogenous segments, and a semiempirical backscattering-coherence model that is inverted to produce stem volume estimates for the forest segments. Forest stands with known stem volumes are r...

physical properties of agricultural products such as volume are the most important parameters influencing grading and packaging systems. they should be measured accurately as they are considered for any good system design. image processing and neural network techniques are both non-destructive and useful methods which are recently used for such purpose. in this study, the images of apples were ...

Nacrtak Earthwork usually represents the largest cost component in the construction of low-volume forest roads. Accurate estimates of earthwork volume are essential to forecast construction costs and improve the financial control of road construction operations. Traditionally, earthwork volumes are estimated using methods that consider ground data obtained from survey stations along road grade ...

Forest management is an important and complex process, which has significant implications on the environment (e.g. protection of biological diversity, climate mitigation) and the economy (e.g. estimation of timber volume for commercial usage). An efficient management requires a very detailed knowledge of forest attributes such as species composition, trees stem volume, height, etc. Hyperspectra...