| dc.description.abstract | Remote sensing satellites that provide hyperspectral imagery promise to be a valuable source of information and enable new applications. The _rst satellite from the NTNU Small-Satellite laboratory, the Hyperspectral Small Satellite for Ocean observation (HYPSO-1) features a hyperspectral camera. HYPSO-1 is envisioned to be used as part of a network of robotic platforms to form an observational pyramid. This thesis presents contributions to the _eld of hyperpsectral remote sensing that fall into the four categories i) operation, ii) on-board data processing, iii) spatial resolution characterization, iv) and agile satellite maneuvering for remote sensing.
The hyperspectral camera HSIv6, which is used on HYPSO-1, was tested by a crewed airplane operation that was part of a mission to implement the observational pyramid. The operation initiated investigations into real-time hyperspectral data monitoring, which can improve the success rate of hyperspectral remote sensing missions via early error detection.
The HYPSO-1 payload processor is presented. Its software architecture with regards to booting procedure, operating system, application services and camera control is described and results from lab testing and characterization procedures are presented. The ethernet throughput and camera frame rate capability is characterized. Results from in-orbit operations demonstrate the reliability of the system. A working methodology based on agile principles was adopted for HYPSO-1 satellite operations. We show that this methodology led to the gradual development of an operations toolchain for the HYPSO-1 satellite towards an e_cient operational workow.
The spatial resolution of HYPSO-1 data is characterized using image processing and geometric methods. The across-track spatial resolution is about 140 m, and increasing with larger o_-nadir angle and spectral band below 500 nm or above 600 nm. Using a simple geometric model, the image sharpness and spatial resolution of a generic push-broom imaging system can be predicted. Data from the HYPSO-1 satellite veri_es the model. The along-track spatial resolution of HYPSO-1 data depends also on o_-nadir angle, and depends in adition on recording frame rate and exposure time. The lowest along-track spatial resolution of HYPSO-1 is approximately 730 m.
Additional on-board and on-ground processing architectures are explored, as well as on-board processing modules for on-board decision making.
Agile push-broom satellite maneuvers are modelled and a method for planning them is presented. The ADCS of HYPSO-1 is used to test six imaging maneuvers: slewing, multi-target, dual-angle, wide swath, on-board processing, and dynamic pointing. The results show that the slewing and multi-angle mode increased estimated SNR by 1.4x to 1.7x, the on-board processing mode decreased data latency, and the multi-target, wide swath and dynamic pointing modes enhanced spatial coverage | en_US |
