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3d_buildings

Point cloud of results of aerial laser scanner is given. Code classifies points to ground, vegetation and buildings, finds outline of every building, simplifies it and visualizes buildings in 3D using OpenGL.

3dforest

software for analysis of Lidar data from forest environment.

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

bit_cd

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

building-footprint-segmentation

Building footprint segmentation from satellite and aerial imagery

carboncalc

Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.

cesium-terrain-builder

A C++ library and associated command line tools designed to create terrain tiles for use in the Cesium JavaScript library

crownseg

Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deepforest

Python Package for Tree Crown Detection in Airborne RGB imagery

densenet

A TFlearn Implementation for Densely Connected Convolutional Networks (DenseNets)

dl_biomass

Deep learning applied to lidar point clouds to predict tree biomass by component.

domdsm2osgb

根据dom 和dsm叠加生成osgb数据， 需要一张纹理信息和一张深度信息生成三维模型

forest

This is the supplementary code for Carr and Slyder 2017 (submitted to International Journal of Remote Sensing), "Individual tree segmentation from a leaf-off photogrammetric point cloud"

forest_classifier

forest_classifier can take aerial images all the way to individual tree species predictions.

forestmetrics

Individual tree segmentation from LiDAR-derived point clouds

fortls

Automatic Processing of TLS Point Cloud Data for Forestry Purposes

geometricnetworks

Tree segmentation of LiDAR point clouds with geometric networks

hello-world

iaug_cdnet

Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.

individual_urban_tree_crown_detection

keras-vision-transformer

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

lewos

Unsupervised leaf-wood classification from laser scanning point clouds

lidar-process

Script to process Raw LiDar files. Digital Terrain Model, Canopy Height Model, Normalization, Voxelization and Density Model.

lidr

R package for airborne LiDAR data manipulation and visualisation for forestry application

lod2buildingmodel

SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto

mapmatrix3d-2.0

倾斜摄影编辑和测图

masbcpp

C++ implementation of the Medial Axis Shrinking Ball algorithm

mask_rcnn_ryanccc

Mask_RCNN原理以及实现

mask_rcnn_tcdd

In this project I am using the Mask R-CNN (https://github.com/matterport/Mask_RCNN) to perform Tree Crown Detection and Delineation (TCDD) in a tropical forest region.